Skip to main content

Überblick über anwendungsbezogene Veröffentlichungen

  • Chapter
Optimierung
  • 233 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

VII.1 Produktionsplanung

  1. Kilger, W.: Optimale Produktionsplanug and Absatzplanung, Entscheidungsmodelle für den Produktions-und Absatzbereich industrieller Bestriebe, Westdeustscher Verlag, Opladen, 1973

    Google Scholar 

  2. Arrow, K. J., Karlin, S., and Scarf, H.: Studies in the Mathematical Theory of Inventory and Production, Stanford Univ. Press, Stanford, Cal., 1963

    Google Scholar 

  3. Hanssmann, F.: Operations Research in Production and Inventory, Wiley, New York, 1962

    MATH  Google Scholar 

  4. Peterson, R. and Silver, E. A.: Decision Systems for Inventory Management and Production Planning, Wiley, New York, 1985

    Google Scholar 

  5. Riggs, J. L.: Production Systems, Wiley, New York, 1970

    Google Scholar 

  6. Royce. N. J.: Linear Programming Applied to Production and Operation of a Chemical Process, Operational Res. Quarterly, Vol. 21, No. 1, 1970, 61–80

    Google Scholar 

  7. Peters, L.: Simultane Produktions-und Investitionsplanung mit Hilfe der Portfolio Selection, Duncker and Humblot, 1971

    Google Scholar 

  8. Jarr, K.: Simultane Produktions-und Personalplanung, Zeitschrift für Betriebswirtschaft, Vol. 44, No. 10, 1974, 685–702

    Google Scholar 

  9. Johnson, A. and Montgomery, D. C.: Operations Research in Production Planning, Scheduling and Inventory Control, Wiley, New York, 1974

    Google Scholar 

  10. Zangwill, W. I.: A Deterministic Multi-Period Production Scheduling Modell with Backlogging, Mgmt. Science, Vol. 13, 1966, 105–119

    MATH  Google Scholar 

  11. Zangwill, W. I.: A Deterministic Multiproduct Multifacility Production and Inventory Model, Oper. Res., Vol. 14, 1966, 486

    Article  MATH  Google Scholar 

  12. Lee, E. S. and Shaikh, M. A.: Optimal Production Planning by Gradient Techniques, Mgmt. Sci., Vol. 16, No. 1, 1969, 109–117

    Google Scholar 

  13. Kantorovich, L. V.: Mathematical Methods of Organizing and Planning Production, Leningrad, 1939, Mgmt. Sci., Vol. 6, 1958, 366–422

    MathSciNet  Google Scholar 

  14. Eilon, S.: Elements of Production Planning and Control, MacMillan, New York, 1962

    Google Scholar 

  15. Hollier, R. H. and Moore, J. M. (Eds.): The Production System—An Efficient Integration of Resources, Proceedings of the Third Int. Conf. on Prod. Res., Massachusetts, U.S.A., August 1975

    Google Scholar 

  16. Hanssmann, F. and Hess, S. W.: A Linear Programming Approach to Production and Employment Scheduling, Mgmt. Techn., Vol. 1, 1960, 1

    MathSciNet  Google Scholar 

  17. Hitomi, K. and Nakamura, N.: Optimal Production Planning for a Multiproduct, Multistage Production System, in VII. 1–15, 1975

    Google Scholar 

  18. Lawrence, K. D. and Burbridge, J. J.: A Multiple Goal Linear Programming Model for Coordinated Production and Logistics Planning, Intern. J. Prod. Res., Vol. 14, No. 2, 1976, 215–220

    Article  Google Scholar 

  19. Adam, D.: Produktionsplanung bei Sortenfertigung, ein Beitrag zur Theorie der Mehrproduktunternehmung, Diss., Hamburg, 1965

    Google Scholar 

  20. Bard, Y.: Production-Transportation-Marketing Model, IBM New York Scientific Center, Report No. 320–2933, New York, 1966

    Google Scholar 

  21. Pfaffenberger, U.: Probleme der Produktionsplanung bei Mehrprodukten—Mehrstufenfertigung, Diss., Tübingen, 1963

    Google Scholar 

  22. Wittmann, W.: Lineare Programmierung und traditionelle Produktionstheorie, Zeitschrift für handelswirtsch. Forschung, Vol. 12, 1960

    Google Scholar 

  23. Dinkelbach, W.: Zum Problem Der Produktionsplanung in Ein-und Mehrproduktunternehmen, Physica, Würzburg

    Google Scholar 

  24. VII.1 Produktionsplanung

    Google Scholar 

  25. Bussmann, K. F. und Mertens, P. (Eds.): Operations Research und Datenvererbeitung bei der Produktionsplanung, Poeschel, Stuttgart, 1968

    Google Scholar 

  26. Von Rago, Louis: Operations Research in der Produktionspraxis. Ein Handbuch für den Praktiker, Gabler, Wiesbaden, 1970

    Google Scholar 

  27. Stoica, M. and Scarlat, E.: Some Fuzzy Concepts in the Management of Production Systems, Modern Trends in Cybern. and Systems, Vol. 2, 1977, 175–181

    Google Scholar 

  28. Koopmans, T. C. (Ed.): Activity Analysis of Production and Allocation, Wiley, New York, 1951

    Google Scholar 

  29. Glover, F., Jones, G., Karney, D., Klingman, D., and Mote, J.: An Integrated Production, Distribution and Inventory Planning Systems, Interfaces, Vol. 9, 1979, 21–35

    Article  Google Scholar 

  30. Clark, A.J.: A System for the Specification and Generation of Matrices for Multi-Period Prod. Scheduling Models, in VIII.1. 1–32, 1970

    Google Scholar 

  31. Guenther, H. O.: Revidierende Produktionsplanung bei Sortenfertigung, in VIII.1. 1–57, 1985, 140–147

    Google Scholar 

  32. Scheer, A.-W.: Stand und Trends der computergestützten Produktionsplanung und -steuerung (PPS) in der Bundesrepublik Deutschland, Zeitschr. für Bertriebswirtschaft, Vol. 53, 1983, 138–155

    Google Scholar 

  33. Zimmermann, H.-J. and Sovereign, M.: Quantitative Models in Production Management, Prentice-Hall, Englewood Cliffs, N. J., 1972

    Google Scholar 

  34. Schmitt, H.: Produktionsplanung mit linearer Programmierung, Elektronische Rechenanlagen, Vol. 4, No. 3, 1962, 117–120

    Google Scholar 

  35. Eppen, G. D. and Martin, R. K.: Solving Multi-Item Capacitated Lot Sizing Problems Using Variable Redefinition, Oper. Res., Vol. 35, No. 6, 1987, 832–848

    MATH  Google Scholar 

  36. Jones, W. G. and Rope, C. M.: Linear Programming Applied to Production Planning—A Case Study, Oper. Res. Quart., Vol. 15, 1964, 293–302

    Google Scholar 

  37. Knolmayer, G.: Computational Experiments in the Formulation of Linear Product-Mix and Non-Convex Production-Investment Models, Comp. and Oper. Res., Vol. 9, 1982, 207–219

    Google Scholar 

  38. Lawrence, J. R. and Flowerdew, A. D. J.: Economic Models for Production Planning, Oper. Res. Quarterly, Vol. 14, 1963, 11–30

    Google Scholar 

  39. Ahrsoje, G. and Svednunger, S.: A Production Planning System Based on Linear Programming, OMEGA, Vol. 1, 1973, 499–504

    Article  Google Scholar 

  40. Karwowski, W. and Evans, G. W.: Fuzzy Concepts in Production Management Research—A Review, Int. J. Production Research, Vol. 24, No. 1, 1986, 129–148

    Article  Google Scholar 

  41. Billington, P. J., Mc Clain, J. O., and Thomas, L. J.: Mathematical Programming Approaches to Capacity Constrained MRP Systems—Review, Formulation and Problem Reduction, Mgmt. Sci., Vol. 29 1983, 1126–1141

    MATH  Google Scholar 

  42. Steinberg, E. and Napier, H. A.: Optimal Multi-Level Lot Sizing for Requirements Planning Syst., Mgmt., Sci., Vol. 26, 1980, 1258–1271

    MATH  Google Scholar 

  43. Zahorik, A., Thomas, L. J., and Trigeiro, W. W.: Network Programming Models for Production Scheduling in Multi-Stage, Multi-Item Capacitated Systems, Mgmt. Sci., Vol. 30, 1984, 308–325

    MATH  Google Scholar 

  44. Salveson, M. E.: On a Quantitative Method in Production Planning and Scheduling, Econometrics, Vol. 20, No. 4, 1952, 554–590

    Article  MATH  Google Scholar 

  45. Holt, C. C., Modigliani, F., Muth, J. F., and Simon, H. A.: Planning Production, Inventories and Work Force, Prentice-Hall, Englewood Cliffs, New Jersey, 1960

    Google Scholar 

  46. Mc Clain, J. O., Thomas, L. J., and Weiss, E. N.: Efficient Solutions to a Linear Programming Model for Production Scheduling With Capacity Constraints and no Initial Stock, IIE Trans., Vol. 21, No. 2, 1989, 144–152

    Article  Google Scholar 

  47. Ramsey, T. E. Jr.: Integer Programming Approaches to Capacitated Concave Cost Production Planning Problems, Ph.D. Diss., Georgia Institute of Technology, 1980

    Google Scholar 

  48. Bowman, E. H.: Production Scheduling by the Transportation Method of Linear Programming, Operations Research, Vol. 3, No. 1, 1956

    Google Scholar 

  49. Scheer, A.-W.: Anforderungen und Anregungen für den Einsatz von OR-Modellen Im Produktionsbereich aus der Sicht neuer Entwick-lungen der Datenverarbeitung, in VIII.1. 1–56, 1979

    Google Scholar 

  50. Chow, W. S., Heragu, S. S., and Kusiak, A.: Operations Research Models and Techniques, in VII. 1–49, 135–148

    Google Scholar 

  51. Vollmann, T. E., Berry, W. L., and Whybark, D. C.: Manufacturing Planning and Control Systems, Richard D. Irwin, Homewood, III., 1984

    Google Scholar 

  52. Bahl, H. C. and Zionts, S.: A Noniterative Multiproduct Multiperiod Prod. Planning Method, Oper. Res. Letters, Vol. 1, No. 6, 1982

    Google Scholar 

  53. Afentakis, P. and Gavish, B.: Optimal Lot Sizing Algorithms for Complex Product Structures, Oper. Res., Vol. 34, 1986, 237–250

    MathSciNet  MATH  Google Scholar 

  54. Billington, P. J., Mc Clain, J. O., and Thomas, L. J.: Heuristics for Multilevel Lot Sizing with a Bottleneck, Mgmt. Science,Vol. 32, No. 8, 1986

    Google Scholar 

  55. Hax. A. C. and Candea, D.: Production and Inventory Management, Prentice Hall, Englewood Cliffs, New Jersey, 1984

    Google Scholar 

  56. Camp, W. E.: Determining the Production Order Quantity, Management Engineering, Vol. 2, 1922, 17–18

    Google Scholar 

  57. Ford, F. N., Bradbard, D. A., Ledbetter, W. N., and Cox, J. F.: Use of Operations Research in Production Management, Prod. Inv. Management, Vol. 28, No. 3, 1987, 59–63

    Google Scholar 

  58. Graves, S. C.: Using Lagrangian Techniques to Solve Hierarchical Prod. Planning Problems, Mgmt. Sci., Vol. 28, No. 3, 1982, 260–275

    MATH  Google Scholar 

  59. Afentakis, P., Gavish, B., and Karmarkar, U.: Computationally Efficient Optimal Solutions to the Lot Sizing Problem in Multi-Stage Assembly Systems, Mgmt. Sci., Vol. 30, 1984, 222–239

    MATH  Google Scholar 

  60. Pochet, Y.: Valid Inequalities and Separation for Capacitated Economic Lot Sizing, Oper. Res. Letters, Vol. 7, 1988, 109–115

    MathSciNet  MATH  Google Scholar 

  61. Pochet, Y. and Wolsey, L. A.: Lot Size Models with Backlogging—Strong Reformulation and Cutting Planes, Math. Progr., Vol. 40, 1988, 317–335

    Article  MathSciNet  MATH  Google Scholar 

  62. Ho, J. K. and Mc Kenney, W. A.: Triangularity of the Basis in Linear Programs for Material Requirements Planning, Report of the College of Bus. Administration, Univ. of Tennessee, Knoxville, TN., 1988

    Google Scholar 

  63. Mc Kenney, W. A.: Doctoral Dissertation, Univ. of Tennessee, 1987

    Google Scholar 

  64. Leung, J. M. Y., Magnanti, T. L., and Vachani, R.: Facets and Algorithms for Capacitated Lot Sizing, Math. Progr. Ser. B, Vol. 45, No. 2, 1989, 331–359

    Article  MathSciNet  MATH  Google Scholar 

  65. Barany, I., Van Roy, T. J., and Wolsey, L. A.: Uncapacitated Lot Sizing—The Convex Hull of Solutions, Math. Progr. Study, Vol. 22, 1984, 32–43

    Article  MATH  Google Scholar 

  66. Barany, I., Van Roy, T. J., and Wolsey, L. A.: Strong Formulations for Multi-Item Capacitated Lot Sizing, Mgmt. Sci., Vol. 30, 1984, 1255–1261

    MATH  Google Scholar 

  67. Manne, A. S.: Programming of Economic Lot Sizes, Mgmt. Science, Vol. 4, 1958, 115–135

    Google Scholar 

  68. Wagner, H. M. and Whitin, T. M.: Dynamic Version of the Economic Lot Size Model, Mgmt. Sci., Vol. 5, 1958, 89–96

    MathSciNet  MATH  Google Scholar 

  69. Dzielinski, B. P., Baker, C. T., and Manne, A. S.: Simulation Tests of Lot Size Programming, Mgmt. Sci., Vol. 9, 1963, 229–258

    Google Scholar 

  70. Dzielinski, B. P. and Gomory, R. E.: Optimal Programming of Lot Sizes, Inventory and Labor Allocations, Mgmt. Sci., Vol. 11, 1965, 874

    MathSciNet  Google Scholar 

  71. Buffa, E. S. and Taubert, W. L.: Production-Inventory Systems-Planning and Control, Richard D. Irwin, Homewood, Ill., 1972

    Google Scholar 

  72. Wild, R.: Mass Production Management, Wiley, London, 1972

    Google Scholar 

  73. Mc Clain, J. O. and Thomas, L. J.: Operations Management—Production of Goods and Services, Prentice Hall, Englewood Cliffs, N. J., 1985

    Google Scholar 

  74. Minch, R.: A Partitioning Technique for Leontief Type Linear Programming Production Models, Operations Research Quart., 1976

    Google Scholar 

  75. Trigeiro, W. W., Thomas, L. J., and Mc Clain, J. O.: Capacitated Lot Sizing with Setup Times, Mgmt. Sci., Vol. 35, No. 3, 1989

    Google Scholar 

  76. Schwarz, L. (Ed.): Multi-Level Production/Inventory Systems—Theory and Practice, North-Holland, New York, 1981

    MATH  Google Scholar 

  77. Kusiak, A. (Ed.): Modern Production Management Systems, North-Holland, Amsterdam, 1987

    Google Scholar 

  78. Bastian, M.: Lot-Trees—A Unifying View and Efficient Implementation of Forward Procedures for the Dynamic Lot-Size Problem, Comput. Oper. Res., Vol. 17, No. 3, 255–263, 1990

    Article  MathSciNet  MATH  Google Scholar 

  79. Chand, S. and Morton, T. E.: Minimal Forecast Horizon Procedures for Dynamic Lot Size Models, Nay. Res. Log. Quart., Vol. 33, 1986, 111–122

    Article  MathSciNet  MATH  Google Scholar 

  80. Fleischmann, B.: The Discrete Lot Sizing and Scheduling Problem, Europ. J. Oper. Res., Vol. 46, No. 3, 1990, 337–348

    Article  MathSciNet  Google Scholar 

  81. Miller, T. and Liberatore, M. J.: Implementing Integrated Production and Distribution Planning Systems, Intern. J. Oper. and Prod. Mgmt. (UK), Vol. 8, No. 7, 1988, 31–41

    Article  Google Scholar 

  82. Biethahn, J.: Praktische Erfahrungen bei der Anwendnung der linearen Optimierung auf Mehrproduktunternehmen mit Kuppelproduktion, in VIII.1. 1–146, 1974

    Google Scholar 

  83. Zoller, K. and Robrade, A.: Efficient Heuristics for Dynamic Lot Sizing, Int. J. Prod. Res., Vol. 26, 1988, 249–265

    Article  MATH  Google Scholar 

  84. Ritchie, E. and Tasdo, A. K.: Review of Lot-Sizing Techniques for Deterministic Time-Varying Demand, Prod. Inv. Mgmt., Vol. 27, 1986, 65–97

    Google Scholar 

VII.2 Fertigungsplanung

  1. Muth, J. F. and Thompson, G. L. (Eds.): Industrial Scheduling, Prentice Hall, Eglewood Cliffs, N.J., 1963

    Google Scholar 

  2. Obrien, J. J.: Scheduling Handbook, McGraw-Hill, New York, 1969

    Google Scholar 

  3. Coffman, E. G. Jr. (Ed.): Computer and Job Shop Scheduling Theory, Wiley, New York, 1976

    MATH  Google Scholar 

  4. Kompass, E. and Williams, T. J. (Ed.): On-Line Production Scheduling and Plant-Wide Control, Proc. of the 8th Annual Adv. Contr. Conf., West Lafayette, Indiana 1982, Control Eng., Barrington, 1982

    Google Scholar 

  5. Tang, J. C. S. and Quah, T. C.: Comparsion of Solution Techniques for the Production Scheduling Problem, Int. J. Policy Inf., Vol. 8, No. 1, 1984

    Google Scholar 

  6. Ballakur, A. and Steudel, H. J.: Integration of Job Shop Control Syst.—A State-of-the-Art Review, J. Manuf. Syst., Vol. 3, 1984

    Google Scholar 

  7. Baker, K. R.: Sequencing Rules and Due-Date Assignments in a Job Shop, Mgmt. Sci., Vol. 30, No. 9, 1984

    Google Scholar 

  8. Dumitru, V. and Luban, F.: Membership Functions, Some Mathematical Programming Models and Production Scheduling, Fuzzy Sets and Systems, Vol. 8, No. 1, 1982

    Google Scholar 

  9. Mc Hugh, J. A. M.: Hu’s Precedence Tree Scheduling Algorithm—A Simple Proof, Naval Res. Logist. Quart., Vol. 31, No. 3, 1984

    Google Scholar 

  10. Kiran, A. S. and Smith, M. L.: Simulation Studies in Job Shop Scheduling—I: A Survey, Comp. Ind. Eng., Vol. 8, No. 2, 1984

    Google Scholar 

  11. Kiran, A. S. and Smith, M. L.: Simulation Studies in Job Shop Scheduling—II: Performance of Priority Rules, Vol. 8, No. 2, 1984

    Google Scholar 

  12. Kantsedal, S. A.: Decomposition Approach to the Solution of Large-Scale Scheduling Problems, Autom. Remote Control, Vol. 44, 1983

    Google Scholar 

  13. Adiri, I. and Amit, N.: Route-Dependent Open-Shop Scheduling, IIE Trans., Vol. 15, No. 3, 1983

    Google Scholar 

  14. Glacebrook, K. D.: On Stochastic Scheduling Problems with Due Dates, Int. J. Syst. Sci., Vol. 24, No. 11, 1983

    Google Scholar 

  15. Panayiotopoulos, J.-C.: Generalized Multi-Item Lot Size Scheduling, Eur. J. Oper. Res., Vol. 14, No. 1, 1983

    Google Scholar 

  16. Bakshi, M. S. and Arora, S. R.: The Sequencing Problem, Management Science. Vol. 16. No. 4, 1969, 247–263

    Article  Google Scholar 

  17. Dannenbring, D. G.: An Evaluation of Flow Shop Sequencing Heuristics, Mgmt. Sci., Vol. 23, 1977, 1174–1182

    MATH  Google Scholar 

  18. Lageweg, B. J., Lenstra, J. K., and Rinnooy Kan, H. G.: Job-Shop Scheduling by Implicit Enumeration, Mgmt. Sci., Vol. 24. No. 4, 1977, 441–450

    MathSciNet  MATH  Google Scholar 

  19. Hoss, K.: Fertigungsplanung mittels operationsanalytischer Methoden, Physica Verlag, Würzburg, 1965

    Google Scholar 

  20. Baker, K. R.: Intr. to Sequencing and Schedul., Wiley, New York, 1975

    Google Scholar 

  21. Müller-Merbach, H: Optimale Reihenfolgen, Springer, Berlin, 1970

    Book  Google Scholar 

  22. Charlton, J. M. and Death, C. C.: A Generalized Machine-Scheduling Alogrithm, Operations Research Quarterly, Vol. 21, No. 1, 1970

    Google Scholar 

  23. Haase, L.: Näherungsverfahren Zum Bestimmen kostenguenstiger Reihenfolgen von Fertigungslosen bei gleicher technologischer organisatorischer Folge, Fertigungstechnik und Betrieb, Vol. 25, No. 1, 1975, 27–32

    MathSciNet  Google Scholar 

  24. Arkin, E. M. and Silverberg, E. B.: Scheduling Jobs with Fixed Start and End Times, Discrete Appl. Math., Vol. 18, No. 1, 1987, 1–18

    MathSciNet  MATH  Google Scholar 

  25. Prabhakar, T.: A Production Scheduling Problem with Sequencing Considerations, Mgmt. Sci., Vol. 21, No. 1, 1974, 34–42

    MATH  Google Scholar 

  26. Sielken, R. L.: Sequencing with Setup Costs by Zero-One Mixed-Integer Linear Programming, AIIE Trans., Vol. 8, No. 3, 1976, 369–371

    Article  Google Scholar 

  27. Taha, H.: Sequencing by Implicit Ranking and Zero-One Polynomial Programming, AIIE Transactions, Vol. 3, No. 4, 1971, 299–301

    Article  Google Scholar 

  28. Geoffrion, A. M. and Graves, G. W.: Scheduling Parallel Production Lines with Changeover Costs—Practical Appl. of a Quadratic Assignment/LP Appr., Res., Vol. 24, No. 4, 1976, 595–610

    MATH  Google Scholar 

  29. Bruvold. N. T. and Evans, J. R.: Flexible Mixed-Integer Programming, Formulations for Production Scheduling Problems, IIE Trans., Vol. 17, No. 1, 1985, 2–7

    Article  Google Scholar 

  30. Szwarc, W.: Mathematical Aspects of the 3 x n Jobshop Sequencing Problem, Nay. Res. Logist. Quart., Vol. 21, 1974, 145–153

    Article  MathSciNet  MATH  Google Scholar 

  31. Johanson, S. M.: Optimal Two and Three Stage Prod. Scheduling with Set-up Times Included, Nar. Res. Logist. Quart., Vol. 14, 1954, 61–68

    Article  Google Scholar 

  32. Garey, M. R., Johnson, D. S., and Sethi, R.: The Complexity of Flowshop and Jobshop Scheduling, Math. of Oper. Res., Vol. 1, 1976, 117–129

    Article  MathSciNet  MATH  Google Scholar 

  33. Pinedo, M. L.: Minimizing the Makespan in a Stochastic Flowshop, Oper. Res., Vol. 30, 1982, 148–162

    MathSciNet  MATH  Google Scholar 

  34. Cunningham, A. A. and Dutta, S. K.: Scheduling Jobs with Exponentially Distributed Processing Times on Two Machines of a Flowshop, Naval Res. Logist. Quart., Vol. 23, 1973, 69–81

    Article  MathSciNet  Google Scholar 

  35. Frostig, E. and Adiri, I.: Three-Machine Flowshop Stochastic Scheduling to Minimize Distribution of Scheduling Length, Nay. Res. Logist. Quart., Vol. 32, 1985, 179–183

    Article  MathSciNet  MATH  Google Scholar 

  36. Seitz, R.: Ermittlung kuerzester Durchlaufzeiten auf Fertigungsstrassen, Unternehmensforschung, Band 6, Heft 4, 1962

    Google Scholar 

  37. Akers, S. B. Jr. and Friedman, J.: A Non-Numerical Approach to Production Scheduling, Oper. Res., Vol. 3, No. 4, 1955, 429–442

    Google Scholar 

  38. Heller, J.: Combinatorial, Probabilistic and Statistical Aspects of an M x J Scheduling Problem, Report NYO-2540, AEC Computing and Applied Mathematics Center, Inst. of Math. Sciences, New York Univ., New York, 1959

    Google Scholar 

  39. Heller, J. and Logemann, G.: An Algorithm for the Construction and Evaluation of Feasible Schedules, Mgmt. Sci., Vol. 8, No. 2, 1962

    Google Scholar 

  40. Giffler, B. and Thompson, G.: Algorithm for Solving Production Scheduling Problems, and Journal of the Oper. Res. Soc. of America, Vol. 8, No. 4, 1960

    Google Scholar 

  41. Conway, R. W., Maxwell, W. L., and Miller, L. W.: Theory of Scheduling, Addison-Wesley, Reading, Mass., 1967

    MATH  Google Scholar 

  42. Rinnooy Kan, A. H. G.: Machine Scheduling Problems—Classification, Complexity and Computations, Nijhoff, the Hague, 1976

    Google Scholar 

  43. Mc Mahon, G. and Florian, M.: On Scheduling with Ready Times and Due Dates to Minimize Maximum Lateness, Oper. Res., Vol. 23, 1975, 475

    Google Scholar 

  44. Dessouky, M. L. and Margenthaler, C. R.: The One-Machine Sequencing Problem with Early Starts and Due Dates, AIIE Trans., Vol. 4, 1972, 214–222

    Article  Google Scholar 

  45. Baker, K. R. and Su, Z.-S.: Sequencing with Due-Dates and Early Start Times to Minimize Maximum Tardiness, Nay. Res. Logist. Quart., Vol. 21, 1974, 171–176

    Article  MathSciNet  MATH  Google Scholar 

  46. Smith, W. E.: Various Optimizers for Single-Stage Production, Naval Res. Logist. Quart., Vol. 3, 1956, 59–66

    Article  Google Scholar 

  47. Lageweg, B., Lenstra, J. K., and Rinnooy Kan, A. H. G.: Minimizing Maximum Lateness on One Machine—Algorithms and Applications, in VIII.1–6–5, 1979

    Google Scholar 

  48. Gere, W. S.: Heuristics in Job Scheduling, Mgmt. Sci., Vol. 13, 1966, 167–190

    Google Scholar 

  49. Balas, E.: Teoria grafurilor si incarcarea optima a utilajelor la fabricile de mobila (Graph Theory and Optimal Machine Loading in the Manufacturing of Furniture), Proc. Scientific Session of the Forestry Research Institute, Bucharest, June 1966

    Google Scholar 

  50. Nemeti, L.: Das Reihenfolgeproblem in der Fertigungsprogrammierung und Linearplanung mit logischen Bedingungen, Mathematica, Vol. 6, No. 29, 1964, 87–92

    Google Scholar 

  51. Dantzig, G. B.: A Machine-Job Scheduling Model, Mgmt. Sci., Vol. 6, 1960, 191–196

    Google Scholar 

  52. Bowman, F. H.: The Schedule-Sequencing Problem, Operations Research, Vol. 7, 1959, 621–624

    Article  Google Scholar 

  53. Smith, R. D. and Dudek, R. A.: A General Algorithm for Solution of the n-Job, M-Machine Sequencing Problem of the Flow Shop, Oper. Res., Vol. 15, No. 1, 1967, 71–82

    MATH  Google Scholar 

  54. Rinnooy Kan, A. H. G.: Machine Scheduling Problems, H. E. Stenfert Kroese B. V., Leiden, Netherlands, 1976

    Google Scholar 

  55. Piehler, J.: Ein Beitrag Zum Reihenfolgeproblem, Unternehmensforschung, Vol. 4, 1960, 138–142

    Article  Google Scholar 

  56. Liesegang, G. und Schirner, A.: Heuristische Verfahren Zur Maschinenbelegungsplanung bei Reihenfertigung, Zeitschr, für Oper. Res., Vol. 19, 1975, 195–211

    MATH  Google Scholar 

  57. Lomnicki, Z. A.: A Branch-and-Bound Algorithm for the Exact Solution of the Three-Machine Scheduling Problem, Oper. Res. Quart., Vol. 16, 1965, 89–100

    Google Scholar 

  58. Ignall, E. J. and Schrage, L.: Application of the Branch-and-Bound Techniques to Some Flow Shop Scheduling Problems, Oper. Res., Vol. 13, No. 3, 1965, 400–412

    MathSciNet  Google Scholar 

  59. Charlton, J. M. and Death, C. C.: A Method of Solution for General Machine-Scheduling Problems, Oper. Res., Vol. 18, No. 4, 1970, 689–707

    MATH  Google Scholar 

  60. Zangwill, W. I.: A Deterministic Multi-Period Production Scheduling Modell with Backlogging, Mgmt. Sci., Vol. 13, 1966, 105–119

    MATH  Google Scholar 

  61. Pierce, J. F.: Some Large Scale Production Scheduling Problems in the Paper Industry, Prentice-Hall, Englewood Cliffs, N. J., 1964

    Google Scholar 

  62. Giglio, R. J. and Wagner, H. M.: Approximate Solutions to the Three-Machine Scheduling Problem, Oper. Res., Vol. 12, 1964, 306–324

    Google Scholar 

  63. Palmer, D. S.: Sequencing Jobs Through a Multi-Stage Process in the Minimum Total Time, Oper. Res. Quart., Vol. 16, 101–107, 1965

    Google Scholar 

  64. Wagner, H. M.: An Integer Linear Programming Model for Machine Shop Scheduling, Naval Res. Log. Quart., Vol. 6, No. 2, 1959, 131–140

    Article  Google Scholar 

  65. Lenstra, J. K., Rinnooy Kan, A. H. G. and Bruckner, P.: Complexity of Machine Schedul. Probl., Ann. Discr. Math., Vol. 1, 1977, 342–362

    Google Scholar 

  66. Lenstra, J. K.: Sequencing by Enumerative Methods, Mathematical Centre Tracts 69, Mathematisch Centrum, Amsterdam, 1977

    Google Scholar 

  67. Szwarc, W.: On Some Sequencing Problems, Nay. Res. Logist. Quart., Vol. 15, 1968, 127–155

    MATH  Google Scholar 

  68. Arthanari, T. S. and Mukhopadhyay, A. C.: A Note on a Paper by W. Szwarc, Nay. Res. Log. Quart., Vol. 15, 1971, 135–138

    Article  Google Scholar 

  69. Raghavachari, M.: On an Approximate Solution to the 3-Machine Sequencing Problem, Journal of Math. Sciences, Vol. 4, 1969, 47–50

    MathSciNet  Google Scholar 

  70. Mitten, J. G.: Sequencing n Jobs of Two Machines with Arbitrary Time Lags, Mgmt. Sci., Vol. 5, 1959, 293–298

    MathSciNet  MATH  Google Scholar 

  71. Szwarc, W.: Solutiion of the Akers-Friedman Scheduling Problem, Oper. Res., Vol. 8, No. 6, 1960, 782–788

    MATH  Google Scholar 

  72. Raimond, J.-F.: An Algorithm for the Exact Solution of the Machine Scheduling Problem, IBM New York Scientific Center, Report No. 320–2930, March 1986

    Google Scholar 

  73. Hardgrave, W. W. and Nemhauser, G. L.: A Geometric Model and A Graphical Algor. for a Sequencing Probl., Vol. 11, No. 6, 1963, 889–900

    MATH  Google Scholar 

  74. Florian, M., Trepant, P. and Mc Mahon, G.: An Implicit Enumeratioin Algorithm for the Machine Sequencing Problem, Mgmt. Sci., Vol. 17, No. 12, 1971, 782–792

    Google Scholar 

  75. Panwalkar, S. S., Dudek, R. A., and Smith, L. M.: Sequencing Research and the Industrial Scheduling Problem, Proc. of Symposium on Theory of Scheduling and its Applications, Raleigh, North Carolina, 1972, Springer, Berlin, 1973

    Google Scholar 

  76. Nabeshima, I.: On the Bound of Makespans and its Applications in M Machine Scheduling Problem, Journal of the Oper. Res. Soc. of Japan, Vol. 9, No. 3 and No. 4, 98–136

    Google Scholar 

  77. Mc Mahon, G. B. and Burton, P. G.: Flow-Shop Scheduling with the Branch-and-Bound Method, Oper. Res., Vol. 15, No. 3, 1967, 473–481

    Google Scholar 

  78. Page, E. S.: An Approach to the Scheduling of Jobs on Machines, J. Royal Statistical Soc., Series B, Vol. 23, No. 2, 1961, 484–492

    MathSciNet  Google Scholar 

  79. Brooks, G. H. and White, C. R.: An Algorithm for Finding Optimal or Near Optimal Solutions to the Production Scheduling Problem, J. of Ind. Eng., Vol. 16, No. 1, 1965, 34–40

    Google Scholar 

  80. Lasdon, L. S. and Terjung, R. C.: An Efficient Algorithm for Multi-Item Scheduling, Oper. Res., Vol. 19, No. 4, 1971, 946–969

    MathSciNet  MATH  Google Scholar 

  81. Madigan, J. G.: Scheduling a Multi-Product Single Machine System for an Infinite Planning Period, Mgmt. Sci., Vol. 14, No. 11, 1968, 713–719

    Google Scholar 

  82. Dudek, R. A. and Teuton, O. F. Jr.: Development of M-Stage Decision Rule for Scheduling n Jobs Through m Machines, Oper. Res., Vol. 12, 1964, 471–497

    MATH  Google Scholar 

  83. Story, A. E. and Wagner, H. M.: Computational Experience with Integer Programming for Job-Shop Scheduling, in VII. 2–01, 1963

    Google Scholar 

  84. Lawler, E. L., Lenstra, J. K., and Rinnooy Kan, A. H. G.: Recent Developments in Deterministic Scheduling and Sequencing, in VII. 2–85, 1982, 35–73

    Google Scholar 

  85. Dempster, M. A. H. et al. (Eds.): Derterministic and Stochastic Scheduling, D. Reidel Publ. Company, Boston, Mass., 1982

    Google Scholar 

  86. Mahendra, S. B. and Arora, S. R.: The Sequencing Problem, Management Science, Vol. 16, 1969, B247

    Google Scholar 

  87. Spinner, A. H.: Sequencing Theory—Development the Date, Naval Res. Log. Quarterly, Vol. 15, 1968, 319–330

    Google Scholar 

  88. Rochette, R.: A Statistical Analysis of a Job Shop Scheduling Problem, Unpubl. Ph.D. Diss., Dept. of Ind. Eng. and Oper. Res., Univ. of Massachusetts, U.S.A., 1975

    Google Scholar 

  89. Eilon, S. and Hodgson, R. M.: Job Shop Scheduling with Due Dates, Int. Journal of Prod. Res., Vol. 6, 1967, 1

    Article  Google Scholar 

  90. Littger, K.: A New Approach for the Optimum Solution of the M by J Production Scheduling Problem, in VII. 1–15, 1975

    Google Scholar 

  91. Littger, K.: A New Approach for the Optimum Solution of the M by J Production Scheduling Problem, Int. J. Prod. Res., Vol. 15, 1976

    Google Scholar 

  92. Littger, K.: Bearbeitung komplexer Reihenfolgeprobleme mit elektronischen Rechenanlagen, IBM Fachbibliotheck, Form-No. 78100, 1963

    Google Scholar 

  93. Holloway, C. A. and Nelson, R. T.: Job Shop Scheduling with Due Dates and Overtime Capacity, Mgmt. Sci., Vol. 21, 1974, 68

    MATH  Google Scholar 

  94. Eilon, S. and Chowdhury, I. G.: Due Dates in Job Shop Scheduling, in VII. 1–15, 1975

    Google Scholar 

  95. Abernathy, W. J.: Subjective Estimates and Scheduling Decisions, Mgmt. Sci., Series B, Vol. 18, No. 2, 1971, 80–88

    Google Scholar 

  96. Ackermann, S. S.: Even-Flow, A Scheduling Method for Reducing Lateness in Job Shops, Management Techn., Vol. 3, No. 1, 1963, 20–32

    Google Scholar 

  97. Adam, D.: Simultane Ablauf-und Programmplanung bei Sortenfertigung mit ganzzahliger linearer Programmierung, Zeitschr. für Betriebswirtschaft, Vol. 33, No. 4, 1963, 233–245

    MathSciNet  Google Scholar 

  98. Akers, S. B.: A Graphical Approach to Production Scheduling Problems, Oper. Res., Vol. 4, 1956, 244–245

    Google Scholar 

  99. Algan, M.: Reihenfolgeprobleme und Graphentheorie, Unternehmensforschung, Vol. 8, No. 2, 1964, 53–64

    Article  MATH  Google Scholar 

  100. Littger, K.: Bearbeitung komplexer Reihenfolgeprobleme mit elektronischen Rechenanlagen, Elektronische Rechenanlagen, Vol. 6, No. 4, 1964, 184–197

    MATH  Google Scholar 

  101. Ashour, S.: An Experimental Investigation and Comparative Evaluation of Flow-Shop Scheduling Techniques, Oper. Res., Vol. 18, 1970, 541–549

    MATH  Google Scholar 

  102. Balas, E.: Machine Sequencing—Disjunctive Graphs and Degree-Constrained Subgroups, Nay. Res. Logist. Quart., Vol. 17, No. 1, 1970, 1–10

    Article  MathSciNet  MATH  Google Scholar 

  103. Banerjee, B. P.: Single Facility Sequencing with Random Execution Times, Operations Research, Vol. 13, No, 3, 1965, 358–364

    Google Scholar 

  104. Lightenberg, E.: Minimal Cost Sequencing of N Grouped and Ordered Jobs on M Machines, J. of Ind. Eng., Vol. 17, No. 4, 1966

    Google Scholar 

  105. Müller-Merbach, H.: Die Bestimmung Optimaler Losgrößen bei Mehrproduktfertigung, TH Darmstadt, Diss., 1963

    Google Scholar 

  106. Müller-Merbach, H.: Optimale Losgrößen bei mehrstufiger Fertigung, Ablauf-und Plannungsforsch., Vol. 4, No. 4, 1963, 264–274

    Google Scholar 

  107. Müller-Merbach, H.: Ein Verfahren zur Lösung von Reihenfolgeproblemen der industriellen Fertigung, Zeitschr. für wirtsch. Fertigung, Vol. 61, No. 3. 1966, 147–152

    Google Scholar 

  108. Beenhakker, H. L.: Development of Alternative Criteria of Optimality in the Machine Sequencing Problem, Purdue Univ., Ph.D. Thesis, 1963

    Google Scholar 

  109. Bellman, R.: Some Mathematical Aspects of Scheduling Theory, J. SIAM, Vol. 4, No. 3, 1956, 168–205

    MATH  Google Scholar 

  110. Gavett, J. W.: Three Heuristic Rules for Sequencing Jobs to a Single Production Facility, Mgmt. Sci., Vol. II, No. 8, 1965, B166–B176

    Google Scholar 

  111. Lockett, A. G. and Muhlemann, A. P.: A Scheduling Problem Involving Sequence Dependent Changeover Times, Oper. Res., Vol. 20, No. 4, 1972, 895–902

    Google Scholar 

  112. Staehly, P.: Kurzfristige Fabrikationsplanung in der industriellen Werkstattfertigung, Physica, Würzburg

    Google Scholar 

  113. Pressmar, D.. B.: Formulierung von Reihenfolgebedingungen in LP-Produktionsplanungsmodellen, in VIII.1. 1–57, 1985

    Google Scholar 

  114. Huckert, K.: Ein nicht-lineares Optimierungsmodell für das Job-Shop Problem, in VIII.1. 1–58, 1980

    Google Scholar 

  115. Prade, H.: Using Fuzzy-Set Theory in a Scheduling Problem—A Case Study, J. of Fuzzy Sets and Systems, Vol. 2, No. 2, 1979, 153–165

    Article  MATH  Google Scholar 

  116. Bank, B.: Branch-and-Bound-Algorithmen für zwei Reihenfolgeprobleme, Math. Operationsforsch. und Statistik, Vol. 1, 1970, 217–228

    Article  MathSciNet  Google Scholar 

  117. Seiffart, E.: Verbesserung des Lösungsweges eines Reihenfolgeproblems, Fertigungstechnik und Betrieb, Vol. 13, 1963, 570–572

    Google Scholar 

  118. Seiffart, E.: Exakte und approximative Lösungsmöglichkeiten von Reihenfolgeproblemen, Elektron. Informationsverarb. Kybern., Vol. 2, 1966, 123–150

    MATH  Google Scholar 

  119. Teruo, J.: Algorithmen für das klassische Maschinenbelegungsproblem, Math. Operationsforschung und Statistik, Vol. 3, 1972, 195–201

    Article  Google Scholar 

  120. Gupta, J. N. D. and Gupta, S. K.: Single Facility Scheduling with Nonlinear Processing Times, Comput. Ind. Eng., Vol. 14, No. 4, 1988, 387–393

    Article  Google Scholar 

  121. Trappey, J.-F. C., Liu, C. R. and Chang, T. C.: Fuzzy Non-Linear Programming—Theory and Appl. in Manuf., Int. J. Prod. Res., Vol. 26, No. 5, 1988, 975–985

    Article  MATH  Google Scholar 

  122. Adams, J., Balas, E., and Zawack, D.: Shifting Bottleneck Procedure for Jop Shop Sched., Mgmt. Sci., Vol. 34, No. 3, 1988, 391–401

    MathSciNet  MATH  Google Scholar 

  123. VII.2 Fertigungsplanung

    Google Scholar 

  124. Smith-Daniels, V. L., and Ritzman, L. P.: Model for Lot Sizing and Sequencing in Process Industries, Int. J. Prod. Res., Vol. 26, No. 4, 1988, 647–674

    Article  Google Scholar 

  125. Gupta, J. N. D.: An Improved Combinatorial Algorithm for the Flowshop Scheduling Problem, Oper. Res., Vol. 20, 1971, 1753–1758

    Google Scholar 

  126. Gupta, J. N. D.: Optimal Scheduling in a Multi-Stage Flowshop, AIIE Trans., Vol. 4, 1972, 238–243

    Article  Google Scholar 

  127. Schild, A. Fredman, I. J.: Scheduling Tasks with Dealines and Non-Linear Loss Functions, Mgmt Sci., Vol. 9, 1962, 73–81

    Article  Google Scholar 

  128. Beletskii, S. A.: Minimizing the Maximum Penalty on Permutations, Cybernetics, Vol. 22, No. 1, 1986, 82–86

    Google Scholar 

  129. Lawler, E. L.: Optimal Sequencing of a Single Machine Subject to Precedence Constr., Mgmt. Sci., Vol. 19, No. 5, 1973, 544–546

    MATH  Google Scholar 

  130. Graham, R. L., Lawler, E. L., Lenstra, J. K., and Rinnooy Kan, A. H. G.: Optimization and Approximation in Deterministic Sequencing and Sched.—A Survey, Ann. of Discr. Math., Vol. 5, 1979, 287–326

    Article  MATH  Google Scholar 

  131. Krone, M. J.: Heuristic Programming Applied to Scheduling Problems, Ph.D. Diss., Princeton Univ., 1970

    Google Scholar 

  132. Krone, M. J. and Steiglitz, K.: Heuristic-Programming Solution of a Flowshop Scheduling Problem, Oper. Res., Vol. 22, No. 3, 1974, 629–638

    MATH  Google Scholar 

  133. Lenstra, J. K. and Rinnooy Kan, A. H. G.: Complexity of Scheduling under Precedence Constraints, Oper. Res., Vol. 26, 1978, 22–35

    MATH  Google Scholar 

  134. Day, J. E. and Hottenstein, M. P.: Review of Sequencing Problems, Nay. Res. Logist. Quart., Vol. 17, No. 1, 1970, 11–40

    Article  MATH  Google Scholar 

  135. Szwarc, W.: Elimination Methods in the m x n Sequencing Problem, Nay. Res. Logist. Quart., Vol. 18, 1971, 295–305

    Article  MathSciNet  MATH  Google Scholar 

  136. Szwarc, W.: Optimal Elimination Methods in the m x n Sequencing Problem, Operations Research, Vol. 21, 1973, 1250–1259

    Article  MathSciNet  MATH  Google Scholar 

  137. Szwarc, W.: Dominance Conditions in the Three-Machine Flowshop Problem, Operations Research, Vol. 26, 1978, 203–206

    Article  MathSciNet  MATH  Google Scholar 

  138. Achuthan, N. R.: Flow-Shop Scheduling Problems, Ph.D. Thesis, Indian Statistical Institute, Calcutta, 1980

    Google Scholar 

  139. Dar-El, E. M., and Wysk, R. A.: Job Shop Scheduling—Systematic Approach, J. of Manuf. Systems, Vol. 1, NO. 1, 1986, 77–88

    Article  Google Scholar 

  140. Panwalkar, S. S., Smith, M. L., and Wollam, C. R.: Counterexamples to Optimal Permutation Schedules for Certain Flowshop Problems, Nay. Res. Log. Quart., Vol. 28, 1981, 339–340

    Article  MATH  Google Scholar 

  141. Guignard, M., Lee, H., and Spielberg, K.: Solving Makespan Minimization Problems with Lagrangean Decomposition, Report 89–02–04, The Warthon School, Univ. of Pennsylvania, Philadelphia, 1989

    Google Scholar 

  142. Mc Naughton, R.: Scheduling with Deadlines and Loss Functions, Mgmt. Sci., Vol. 6, 1959, 1–12

    Google Scholar 

  143. Gupta, J. N. D.: M-Stage Scheduling Problem—A Critical Appraisal, Int. J. of Prod. Res., Vol. 9, No. 2, 1971, 267–281

    Article  Google Scholar 

  144. Graves, S. C.: Review of Production Scheduling, Oper. Res., Vol. 29, No. 4, 1981, 646–675

    MathSciNet  MATH  Google Scholar 

  145. Gonzalez, T. and Sahni, S.: Open Shop Scheduling to Minimize Finish Time, J. ACM, Vol. 23, 1976, 665–679

    Article  MathSciNet  MATH  Google Scholar 

  146. Gonzalez, T. and Sahni, S.: Flowshop and Jobshop Schedules—Complexity and Approximation, Oper. Res., Vol. 26, 1978, 36–52

    MathSciNet  MATH  Google Scholar 

  147. Gonzalez, T. and Sahni, S.: Preemptive Scheduling of Uniform Processor Systems, J. ACM, Vol. 25, 1978, 92–101

    Article  MathSciNet  MATH  Google Scholar 

  148. Eastman, W. L., Even, S., and Isaacs, I. M.: Bounds for the Optimal Scheduling of n Jobs on m Processors, Mgmt. Sci., Vol. 11, 1964, 268–279

    MathSciNet  Google Scholar 

  149. Emmons, H.: One-Machine and Sequencing to Minimize Certian Functions of Job Tardiness, Oper. Res., Vol. 17, 1969, 701–715

    MathSciNet  MATH  Google Scholar 

  150. Garey, M. R., Johnson, D. S., Simons, B. B., and Tarjan, R. E.: Scheduling Unit-Time Tasks with Arbitrary Release Times and Deadlines, SIAM J. Comput., Vol. 10, 1981, 256–269

    MathSciNet  MATH  Google Scholar 

  151. Panwalkar, S. S. and Iskander, W.: A Survey of Scheduling Rules, Oper. Res., Vol. 25, 1977, 45–61

    MathSciNet  MATH  Google Scholar 

  152. Papadimitriou, C. H. and Kannelakis, P. C.: Flowshop Scheduling with Limited Temporary Storage, J. ACM., Vol. 27, 1980, 533–549

    Article  MATH  Google Scholar 

  153. Reddi, S. S. and Ramamoorthy, C. V.: On the Flow-Shop and Sequencing Problem with no Wait in Process, Oper. Res. Quart., Vol. 23, 1972, 323–331

    MATH  Google Scholar 

  154. Lehtonen, T.: Scheduling Jobs with Exponential Processing Times on Parallel Machines, J. Appl. Probab., Vol. 25, No. 4, 1988, 752–762

    Article  MathSciNet  MATH  Google Scholar 

  155. Weber, R. R.: Scheduling Jobs with Stochastic Processing Requirements on Parallel Machines to Minimizes Makespan or Flowtime, J. Appl. Probab., Vol. 19, 1982, 167–182

    Article  MathSciNet  MATH  Google Scholar 

  156. Weiss, G. and Pinedo, M. L.: Scheduling Tasks with Exponential Service Times on Non-Identical Processors to Minimize Various Cost Functions, J. Appl. Probab., Vol. 17, 1980, 187–202

    Article  MathSciNet  MATH  Google Scholar 

  157. Pinedo, M. L. and Weiss, G.: Scheduling Jobs with Exponentially Distributed Processing Times and Intree Precedence Constraints on Two Parallel Machines, Oper. Res., Vol. 33, 1985, 1381 1388

    Google Scholar 

  158. Weber, R. R., Varaiya, P. P., and Walrand, J.: Scheduling Jobs with Stochastically Ordered Processing Times on Parallel Machines to Minimize Expected Flowtime, J. Appl. Prob., Vol. 23, 1986, 841–847

    Article  MathSciNet  MATH  Google Scholar 

  159. Sisson, R. L.: Methods of Sequencing in Job Shops—a Review, Oper. Res., Vol. 7, No. 1, 1959, 10–29

    MathSciNet  Google Scholar 

  160. Sisson, R. L.: Sequencing Theory, in VIII.1. 1–13, 1961, 293–326

    MathSciNet  Google Scholar 

  161. Florian, M., Tilquin, C., and Tilquin, G.: An Implicit Enumeration Algorithm for Complex Scheduling Problems, Int. J. Prod. Res., Vol. 12, 1975, 25–40

    Article  Google Scholar 

  162. Teruo, J. and Ullrich, M.: Dynamische Optimierung bei Reihenfolgeproblemen, Wiss. Z. TU Dresden, Vol. 22, H. 3, 1973

    Google Scholar 

  163. Seiffart, E.: Reihenfolgeprobleme mit gleichen Maschinen-and Bearbeitungsfolgen, Habilitation, TH Magdeburg, 1969

    Google Scholar 

  164. Ullman, J. D.: NP-Complete Scheduling Problems, J. Comp. Syst. Sci., Vol. 10, 1975, 384–393

    Article  MathSciNet  MATH  Google Scholar 

  165. Stafford, E. F.: On the Development of a Mixed-Integer Linear Programming Model for the Flowshop Sequencing Problem, J. Oper. Res. Soc. (UK), Vol. 39, No. 12, 1988, 1163–1174

    MATH  Google Scholar 

  166. Selim, S. Z. and Al-Turki, U. M.: A New Heuristic Algorithm for the Flowshop Problem, in VII.i-77, 1987, 91–96

    Google Scholar 

  167. Al-Turki, U. M.: A New Heuristic Algorithm for the n-Job, m-Machine Flowshop Scheduling Problem, Master’s Thesis, Univ. of Petroleum and Minerals, Dhahran, Saudi Arabia, 1986

    Google Scholar 

  168. Campbell, H. G., Dudek, R. A., and Smith, M. L.: A Heuristic Algorithm for the n-Job, m-Machine Sequencing Problem, Mgmt. Sci., Ser. B, Vol. 16, No. 10, 1970, 630–637

    Google Scholar 

  169. Park, Y. B.: A Simulation Study and Analysis for Evaluation of Performance-Effectiveness of Flowshop Sequencing Heuristics—A Static and Dynamic Flowshop Model, Master’s Thesis, Pennsylvania State Univ., 1981

    Google Scholar 

  170. Setiaputra, W.: a Survey of Flowshop Permutation Scheduling Techniques and an Evaluation of Heuristic Solution Methods, Master’s Thesis, Pennsylvania State Univ., 1980

    Google Scholar 

  171. Blazewicz, J.: Selected Topics in Scheduling Theory, in VII. 19–169, 1987, 1–60

    MathSciNet  Google Scholar 

  172. Blazewicz, J., Lenstra, J. K., and Rinooy Kan, A. R. G.: Scheduling Subject to Resource Constraints—Classification and Complexity, Discrete Applied Mathematics, Vol. 5, 1983, 11–21

    Article  MathSciNet  MATH  Google Scholar 

  173. French, S.: Sequencing and Scheduling—An Introduction to the Mathematics of the Job Shop, Horwood, Chichester, 1982

    MATH  Google Scholar 

  174. Lawler, E. L.: Recent Results in the Theory of Machine Scheduling, in VIII.1. 1–16, 1983, 202–234

    MathSciNet  Google Scholar 

  175. Sen, T., Dileepan, P., and Ruparel, B.: Minimizing a Generalized Quadratic Penalty Function of Job Completion Times—An Improved Branch-and Bound Approach, Eng. Costs and Production Economics, Vol. 18, 1990, 197–202

    Article  Google Scholar 

  176. Townsend, W.: The Single-Machine Problem with Quadratic Penalty Function of Completion Times—A Branch-and-Bound Solution, Mgmt. Sci., Vol. 24, No. 5, 1978, 530–534

    MathSciNet  MATH  Google Scholar 

  177. Bagga, P. C. and Kalra, K. R.: A Node Elimination Procedure for Townsend’s Algorithm for Solving the Single Machine Quadratic Penalty Function Scheduling Problem, Mgmt. Sci., Vol. 26, No. 6, 1980, 633–636

    MathSciNet  MATH  Google Scholar 

  178. De, P., Ghosh, J. B., and Wells, C. E.: Scheduling About a Common Due Date with Earliness and Tardiness Penalties, Comp. Oper. Res., Vol. 17, No. 2, 1990, 231–241

    Article  MathSciNet  MATH  Google Scholar 

  179. Sidney, J. B.: Optimal Single-Machine Scheduling with Earliness and Tardiness Penalties, Oper. Res., Vol. 25, 1977, 62–69

    MathSciNet  MATH  Google Scholar 

  180. Ogbu, F. A. and Smith, D. K.: The Application of the Simulated Annealing Algorithm to the Solution of the n/m/Cmax Flowshop Problem, Comput. Oper. Res. Vol. 17, No. 3, 1990, 243–253

    Article  MathSciNet  MATH  Google Scholar 

  181. Gupta, J. N. D.: A Functional Heuristic Algorithm for the Flowshop Scheduling Problem, Oper. Res. Quarterly, Vol. 22, 1971, 39–47

    MATH  Google Scholar 

  182. Szwarc, W.: Single Machine Scheduling to Minimze Absolute Deviation of Completion Times from a Common Due Date, Nay. Res. Log. Quart., Vol. 36, 1989, 663–673

    Article  MathSciNet  MATH  Google Scholar 

  183. Baker, K. R. and Scudder, G. D.: Sequencing with Earliness and Tardiness Penalties—A Review, Oper. Res., Vol. 38, No. 1, 1990, 22–36

    MathSciNet  MATH  Google Scholar 

  184. Chand, S. and Schneeberger, H.: Single Machine Scheduling to Minimize Weigthted Earliness Subject to no Tardy Jobs, Eur. J. Oper. Res., Vol. 34, 1988, 221–230

    Article  MathSciNet  MATH  Google Scholar 

  185. VII.2 Fertigungsplanung

    Google Scholar 

  186. Schneeberger, H.: Job Shop Scheduling in Pull Type Production Environments, Ph.D. Thesis, Krannert Graduate School of Management, Purdue Univ., West Lafayette, Indiana, May 1984

    Google Scholar 

  187. Chand, S. and Schneeberger, H.: A Note on the Single Machine Scheduling Problem with Minimium Weigthted Completion Time and the Maximum Allowable Tardiness, Nay. Res. Log. Quart., Vol. 33, No. 3, 1986, 551–557

    Article  MathSciNet  MATH  Google Scholar 

  188. Potts, C. N. and Baker, K. R.: Flow Shop Scheduling with Lot Streaming, Oper. Res. Letters, Vol. 8, 1989, 297–303

    MathSciNet  MATH  Google Scholar 

  189. Page, E. S.: On the Scheduling of Jobs by Computer, Computer J., Vol. 5, 1962, 214–220

    Google Scholar 

  190. Ow, P. and Morton, T.: The Single Machine Early-Tardy Problem, Mgmt. Sci., Vol. 35, 1989, 177–191

    MathSciNet  MATH  Google Scholar 

  191. Szwarc, W.: Parametric Precedence Relations in Single Machine Scheduling, Oper. Res. Letters, Vol. 9, No. 2, 1990, 133–140

    MathSciNet  MATH  Google Scholar 

  192. Cheng, T. C. E.: Dynamic Programming Approach to the Single-Machine Sequencing Problem with Different Due-Dates, Computers and Math. with Appl., Vol. 19, No. 2, 1990, 1–7

    Article  MATH  Google Scholar 

  193. Cheng, T. C. E.: Note on a Partial Search Algorithm for the Single-Machine Optimal Common Due-Date Assignment and Sequencing Probl., Comp. and Oper. Res., Vol. 17, No. 3, 1990, 321–324

    MATH  Google Scholar 

  194. Widmer, M. and Hertz, A.: A New Heuristic Method for the Flow Shop Sequencing Problem, Eur. J. of Oper. Res., Vol. 41, No. 2, 1989, 186–193

    Article  MathSciNet  MATH  Google Scholar 

  195. Cheng, T. and Gupta, M.: Survey of Scheduling Research Involving Due Date Determination Decisions, Eur. J. Oper. Res. Vol. 38, 1989, 156–166

    Article  MathSciNet  MATH  Google Scholar 

  196. Baker, K. R. and Scudder, G. D.: On the Assignment of Optimal Due Dates, J. Oper. Res. Soc., Vol. 40, 1989, 93–95

    MATH  Google Scholar 

  197. Raghavachari, M.: Scheduling Problems with Non-Regular Penalty Functions-A Review, Oper. Res., Vol. 25, 1988, 141–164

    MathSciNet  Google Scholar 

  198. Quaddus, M.: A Generalized Model of Optimal Due-Date Assignment by Linear Programming, J. Oper. Res. Soc., Vol. 38, 1987, 353–359

    MATH  Google Scholar 

  199. Bornstein, C. T.: Heuristic Algorithms for the Minimization of Tardiness for the n-Job, m-Machine Scheduling Problem, AMSE Review, Vol. 12, No. 1, 1989, 11–25

    Google Scholar 

  200. Du, J. and Leung, J. Y. T.: Minimizing Total Tardiness on One Machine is NP Hard, Math. of Oper. Res., Vol. 15, No. 3, 1990, 483–495

    Article  MathSciNet  MATH  Google Scholar 

  201. Taillard, E.: Some Efficient Heuristic Methods for the Flow Shop Sequenc. Probl., Eur. J. Oper. Res., Vol. 47, No. 1, 1990, 65–74

    Article  MathSciNet  MATH  Google Scholar 

  202. Kunnathur, A. S. and Gupta, S. K.: Minimizing the Makespan with Late Start Penalties Added to Processing Times in a Single Facility Scheduling Problem, Eur. J. Oper. Res., Vol. 47, No. 1, 1990, 56–64

    Article  MathSciNet  MATH  Google Scholar 

  203. Szwarc, W., Posner, M. E., and Liu, J. J.: The Single Machine Problem with a Quadratic Cost Function of Completion Times, Management Science, Vol. 34, No. 12, 1988, 1480–1488

    Article  MathSciNet  MATH  Google Scholar 

  204. Kang, B. S. and Markland, R. E.: Solving the No Intermediate Storage Flowshop Scheduling Problem, Int. J. Oper. and Prod. Mgmt., Vol. 9, No. 3, 1989, 48–59

    Article  Google Scholar 

  205. Brucker, P. J. and Harnacher, H. W.: k Optimal Solutions for Some Polynomially Solvable Scheduling Problems, Eur. J. Oper. Res., Vol. 41, No. 2, 1989, 194–202

    Article  MATH  Google Scholar 

  206. Garey, M. R., Graham, R. L., and Johnson, D. S.: Performance Guarantees for Scheduling Algorithms, Oper. Res., Vol. 26, 1978, 3–21

    MathSciNet  MATH  Google Scholar 

  207. Van Wassenhove, L. N. and Gelders, L. F.: Solving a Bicriterion Scheduling Problem, Europ. J. Oper. Res., Vol. 4, 1980

    Google Scholar 

  208. Selen, W. J. and Hott, D. D.: A Mixed-Integer Goal-Programming Formulation of the Standard Flow-Shop Scheduling Problem, J. Oper. Res. Soc., Vol. 37, No. 12, 1986, 1121–1128

    MATH  Google Scholar 

  209. Bellman, R. E., Esogbue, A. O., and Nabeshima, I.: Mathematical Aspects of Scheduling and Applications, Pergamon Press, Oxford, 1982

    MATH  Google Scholar 

  210. Hu, T. C., Kuo, Y. S. and Ruskey, F.: Some Optimum Algorithms for Scheduling Problems with Changeover Costs, Oper. Res., Vol. 33, No. 1, 1987, 94–99

    MathSciNet  Google Scholar 

  211. Kurisu, T.: Two-Machine Scheduling Under Required Precedence Among Jobs, J. Oper. Res. Soc., Japan, Vol. 19, 1976, 1–13

    MathSciNet  MATH  Google Scholar 

  212. Szwarc, W.: Flow Shop Problems with Time Lags, Mgmt. Sci., Vol. 29, 1983, 477–481

    MATH  Google Scholar 

  213. Mitten, L. G.: A Scheduling Problem-An Analytical Solution Based Upon Two Machines, N Jobs, Abitrary Start and Stop Lags, and Common Sequence, J. Ind. Eng., Vol. 10, No. 2, 1959, 131–135

    Google Scholar 

  214. Baker, K. R.: Scheduling Groups of Jobs in the Two-Machine Flow-Shop, Math. Comp. Modelling (Oxford), Vol. 13, No. 3, 1990, 29–36

    Article  Google Scholar 

  215. Otolorin, O.: Flow-Shop Setting for Job-Shop Scheduling, Modell. Simul. and Contr., Vol. 17, No. 1, 1989, 47–55

    Google Scholar 

  216. Gapp, W., Mankekar, P. S., and Mitten, L. G.: Sequencing Operations to Minimize In-Process Inventory Costs, Mgmt. Sci., Vol. 11, No. 3, 1965, 476–484

    MathSciNet  MATH  Google Scholar 

  217. King, J. R. and Spachis, A. S.: Scheduling-Bibliography and Review, Int. J. Phys. Distr. and Mater. Mgmt., Vol. 10, 1980, 105–132

    Google Scholar 

  218. Sen, T. and Gupta, K.: A State-of-the-Art Survey of Static Scheduling Research Involving Due Dates, OMEGA, Vol. 12, 1984, 63–75

    Article  Google Scholar 

  219. Elmaghraby, S. E.: The Machine Sequencing Problem-Review and Extensions, Naval Res. Log. Quart., Vol. 15, 1968, 205–232

    Google Scholar 

  220. Mellor, P.: A Review of Job-Shop Scheduling, Oper. Res. Quart., Vol. 17, 1966, 161–171

    Google Scholar 

  221. Spachis, A. S.: Job Shop Scheduling with Approximate Methods, Ph.D. Thesis, Imperial College of Science and Technology, Univ. of London, 1978

    Google Scholar 

  222. Hariri, A. M. A. and Potts, C. N.: Branch and Bound Algorithms to Minimize the Number of Late Jobs in a Permutation Flow Shop, Eur. J. Oper. Res., Vol. 38, No. 2, 1989, 228–237

    Article  MathSciNet  MATH  Google Scholar 

  223. Posner, M. E.: The Deadline Constrained Weighted Completion Time Problem-Analysis of a Heuristic, Oper. Res., Vol. 36, No. 5, 1988, 742–746

    MathSciNet  MATH  Google Scholar 

  224. Azim, M. A., Moras, R. G., and Smith, M. L.: Antithetic Sequences in Flow Shop Schedul., Comp. and Ind. Eng., Vol. 17, 1989, 353–358

    Google Scholar 

  225. Barker, J. B. and McMahon, G. B.: Scheduling the General Job-Shop, Mgmt. Sci., Vol. 31, No. 5, 1985, 594–598

    MATH  Google Scholar 

  226. Kim, Y.-D.: A Comparison of Dispatching Rules for Job Shops with Multiple Identical Jobs and Alternative Routeings, Int. J. Prod. Res., Vol. 28, No. 5, 1990, 953–962

    Article  Google Scholar 

  227. Vepsalainen, A. P. J. and Morton, T. E.: Priority Rules for Job Shops with Weighted Tardiness Costs, Mgmt. Sci., Vol. 33, No. 8, 1987, 1035–1047

    Google Scholar 

  228. Potts, C. N. and Van Wassenhove, L. N.: A Decomposition Algorithm for the Single Machine Total Tardiness Problem, Oper. Res. Letters, Vol. 1, No. 5, 1982, 177–181

    MATH  Google Scholar 

  229. Baker, K. R. and Kanet, J. J.: Job Shop Scheduling with Modified Due Dates, J. Operations Management, Vol. 4, No. 1, 1983, 11–22

    Article  Google Scholar 

  230. Nawaz, M., Enscore, E. Jr., and Ham, I.: A Heuristic Algorithm for the M-Machine, N-Job Flow Shop Sequencing Problem, OMEGA, Vol. 11, No. 1, 1983, 91–95

    Article  Google Scholar 

VII.3 Fließbandbelegung

  1. Talbot, F. B. and Patterson, J. H.: Integer Programming Algorithm with Network Cuts for Solving the Assembly Line Balancing Problem, Mgmt. Sci., Vol. 30, No. 1, 1984, 85–99

    MATH  Google Scholar 

  2. Held, M., Karp, R. M., and Shareshian, R.: Assembly-Line Balancing-Dynamic Programming with Precedence Constraints, Oper. Res., Vol. 11, 1963

    Google Scholar 

  3. Hoffmann, T. R.: Assembly Line Balancing with a Precedence Matrix, Mgmt. Sci., Vol. 9, No. 4, 1963

    Google Scholar 

  4. Salveson, M. E.: The Assembly Line Balancing Problem, Journal of Industrial Engineering, Vol. 6, No. 3, 1955, 519–526

    Google Scholar 

  5. Freeman, D. R. and Jucher, J. V.: The Line Balancing Problem, Journal of Industrial Engineering, Vol. 18, 1967, 361–364

    Google Scholar 

  6. Steinman, H. and Schwinn, R.: Computational Experience with a Zero-One Programming Problem, Oper. Res., Vol. 17, No. 5, 1969, 917–920

    Google Scholar 

  7. Gutjahr, A. L. and Nemhauser, G. L.: An Algorithm for the Line Balancing Problem, Mgmt. Sci., Vol. 11, 1964, 308–315

    MathSciNet  MATH  Google Scholar 

  8. Bowman, E. H.: Assembly Line Balancing by Linear Programming, Oper. Res., Vol. 8, No. 3, 1960, 385–389

    MathSciNet  MATH  Google Scholar 

  9. Thomopoulos, N. T.: Line Balancing Sequencing for Mixed-Model Assembly, Mgmt. Sci., Vol. 14, No. 2, 1967, 59–75

    Google Scholar 

  10. Thomopoulos, N. T.: A Sequencing Procedure for Multi-Model Assembly Lines, Illinois Institute of Technology, Industrial Engineering Department, Doctoral Thesis, Chicago, 1966

    Google Scholar 

  11. Tonge, F. M.: Summary of a Heuristic Line-Balancing Procedure, Mgmt. Sci., Vol. 7, No. 1, 1960, 21–42

    MathSciNet  MATH  Google Scholar 

  12. Tonge, F. M.: A Heuristic Program for Assembly Line Balancing, Prentice-Hall, Englewood Cliffs, N. J., 1961

    Google Scholar 

  13. Wedekind, H.: Ein linearer Programmansatz fur das Fließbandproblem, Ablauf and Planungsforschung, Vol. 4, No. 4, 1963, 246–248

    Google Scholar 

  14. Jackson, J. R.: A Computing Procedure for a Line Balancing Problem, Mgmt. Sci., Vol. 2, 3, 1956, 261–271

    Google Scholar 

  15. Jackson, J. R.: Scheduling a Production Line to Minimize Maximum Tardiness, Univ. of California, Management Science Research Proj., Research Report No. 43, Los Angeles, 1955

    Google Scholar 

  16. Mertens, P.: Fließbandabstimmung mit dem Verfahren der begrenzten Enumeration nach Müller-Merbach, Ablauf and Planungsforschung, Vol. 8, No. 4, 1967, 173–182

    MathSciNet  Google Scholar 

  17. Sawyer, J. H. F.: Line Balancing, Machinery Publishing Corporation, Brighton, Sussex, England, 1970

    Google Scholar 

  18. Mansoor, E. M.: Assembly Line Balancing-An Improvement of the Ranked Positional Weight Technique, Journal of Industrial Eng., Vol. 15, 1964, 73–77

    Google Scholar 

  19. Mansoor, E. M. and Ben Tuvia, S.: Optimizing Balanced Assembly Lines, Journal of Industrial Engineering, Vol. 17, 1966, 126–132

    Google Scholar 

  20. Ignall, E. J.: A Review of Assembly Line Balancing, Journal of Industrial Engineering, Vol. 16, 1965, 244–254

    Google Scholar 

  21. Arcus, A. L.: COMSOAL-A Computer Method of Sequencing Operations for Assembly Lines, Int. J. of Prod. Res., Vol. 4, 1966

    Google Scholar 

  22. Johnson, R. V.: Optimally Balancing Large Assembly Lines with FABLE, Mgmt. Sci., Vol. 34, No. 2, 1988, 240–253

    Google Scholar 

  23. Nouh, A.: Sequential Aggregation Algorithm for the Set Partitioning Problem, Comput. Meth. Appl. Mech. Eng., Vol. 63, No. 3, 1987, 225–232

    Article  MathSciNet  MATH  Google Scholar 

  24. Saltzman, M. J. and Baybars, I.: Two-Process Implicit Enumeration Algorithm for the Simple Assembly Line Balancing Problem, Eur. J. Oper. Res., Vol. 32, No. 1, 1987, 118–129

    Article  MATH  Google Scholar 

  25. Graves, S. C. and Lamar, B. W.: An Integer Programming Procedure for Assembly System Design Problems, Oper. Res., Vol. 31, No. 3, 1983, 522–545

    MATH  Google Scholar 

  26. Carraway, R. L.: A Dynamic Programming Approach to Stochastic Assembly Line Balancing, Mgmt. Sci., Vol. 35, 1989, 459–471

    MATH  Google Scholar 

  27. Mc Cormick, S. T., Pinedo, M. L., Shenker, S., and Wolf, B.: Sequencing in an Assembly Line with Blocking to Minimize Cycle Time, Oper. Res., Vol. 37, No. 6, 1989, 925–935

    Google Scholar 

  28. Betts, J. and Mahmoud, K. I.: Identifying Multiple Solutions for Assembly Line Balancing Having Stochastic Task Times, Comput. Ind. Eng., Vol. 16, No. 3, 1989, 427–445

    Article  Google Scholar 

  29. Betts, J. and Mahmoud, K. I.: Method for Assembly Line Balancing, Eng. Costs Prod. Econ., Vol. 18, No. 1, 1989, 55–64

    Article  Google Scholar 

  30. Kao, P. C. and Queyranne, M.: On Dynamic Programming for Assembly Line Balancing, Oper. Res., Vol. 30, No. 2, 1982, 375–390

    MATH  Google Scholar 

  31. Arcus, A. L.: An Analysis of a Computer Method of Sequencing Line Operation, Ph.D. Diss., Univ. of California, Berkeley, 1963

    Google Scholar 

  32. Baybars, I.: A Survery of Exact Algorithms for the Simple Assembly Line Balancing Probl., Mgmt. Sci., Vol. 32, No. 8, 1986, 909

    MathSciNet  MATH  Google Scholar 

  33. Helgeson, W. B. and Birnie, D. P.: Assembly Line Balancing Using the Ranked Positional Weight Technique, J. Ind. Eng., Vol. 12, No. 6, 1961, 394

    Google Scholar 

  34. Van Assche, F. and Herroelen, W. S.: An Optimal Procedure for the Single-Model Deterministic Assembly Line Balancing Problem, Eur. J. Oper. Res., Vol. 3, 1979, 142

    Article  MATH  Google Scholar 

  35. Kilbridge, M. D. and Webster, L.: A Review of Analytical Systems of Line Balancing, Oper. Res., Vol. 10, 1962, 626

    Google Scholar 

  36. Bhattacharjee, T. K. and Sahu, S.: Complexity of Single Model Assembly Line Balancing Problems, Eng. Costs Prod. Econ., Vol. 18, No. 3, 1990, 203–214

    Article  Google Scholar 

  37. Patterson, J. H. and Albracht, J. J.: Assembly Line Balancing-0/1-Programming with Fibonacci Search, Oper. Res., Vol. 23, 1975, 166

    MathSciNet  MATH  Google Scholar 

  38. Johnson, N. V. R.: Assembly Line Balancing-A Branch and Bound Algorithm and Computational Comparisons, Int. J. Prod. Res., Vol. 19, No. 3, 1981, 277

    Article  Google Scholar 

  39. Johnson, N. V. R.: A Branch and Bound Algorithm for Assembly Line Balancing with Formulation Irregularities, Mgmt. Sci., Vol. 29, No. 11, 1983, 1309

    MATH  Google Scholar 

  40. Wee, T. S. and Magazing, M. J.: An Efficient Branch-and Bound Algorithm for Assembly Line Balancing, Part I-Minimize the Number of Work Stations, Working Paper 150, Univ. of Waterloo, Ontario, Canada, 1981

    Google Scholar 

  41. Akagi, F., Oskai, H. and Kikuchi, S.: A Method for Assembly Line Balancing with More Than One Worker in Each Station, Int. J. Prod. Res., Vol. 21, No. 5, 1983, 755

    Article  Google Scholar 

  42. Master, A. A.: An Experimental Investigation and Comparative Evaluation of Production Line Balancing Techniques, Management Science, Vol. 16, No. 11, 1970, 728

    Article  Google Scholar 

  43. Omar, M. T.: Development of a New Heuristic Method for Assembly Line Balancing, M. A. Sc. Thesis, Dept. of Industrial Engineering, Univ. of Windsor, Canada, 1975

    Google Scholar 

  44. P. C. Kao: A Preference Order Dynamic Program for Stochastic Assembly Line Balanc., Mgmt. Sci., Vol. 22, No. 11, 1976, 1097–1104

    MATH  Google Scholar 

  45. Reeve. N. R.: Balancing Continuous Stochastic Assembly Line, Ph.D. Thesis, State Univ. of New York, Buffalo, 1971

    Google Scholar 

  46. Easton, F. F.: A Dynamic Program with Fathoming and Dynamic Upper Bounds for the Assembly Line Balancing Problem, Comp. Oper. Res., Vol. 17, No. 2, 1990, 163–175

    Article  MATH  Google Scholar 

  47. Thomopoulos, N. T.: Mixed-Model Line Balancing with Smoothed Station Assignments, Mgmt. Sci., Vol. 16, 1970, 593–603

    MATH  Google Scholar 

  48. Dar-El, E. M.: Mixed Model Assembly Line Sequencing Problem, OMEGA, Vol. 6, 1978, 313–323

    Article  Google Scholar 

  49. Okamura, K. and Yamashita, H.: A Heuristic Algorithm for the Assembly Line Model-Mix Sequencing Problem to Minimize the Risk of Stopping the Conveyor, Int. J. Prod. Res., Vol. 17, 1979, 233–241

    Article  Google Scholar 

  50. Dar-El, E. M. and Cother, R. F.: Assembly Line Sequencing for Model Mixing, Int. J. Prod. Res., Vol. 13, 1975, 463–477

    Article  Google Scholar 

VII.4 CIM-Anwendungen (FMS, JIT)

  1. Stecke, K. E. and Suri, R. (Eds.): Flexible Manufacturing Systems—Operations Research Models and Applications, Univ. of Michigan, Ann Arbor, 1984

    Google Scholar 

  2. Berrada, M. and Stecke, K. E.: A Branch and Bound Approach for Machine Loading in Flexible Manufacturing Systems, Mgmt. Sci., Vol. 32, No. 10, 1986, 1316–1355

    MATH  Google Scholar 

  3. Dubois, D.: A Mathematical Model for a Flexible Manufacturing System with Limited In-Process Inventory, Eur. J. Oper. Res., Vol. 14, 1983

    Google Scholar 

  4. Stecke, K. E.: Formulation and Solution of Nonlinear Integer Production Planning Problems for Flexible Manuf. Systems, Mgmt. Sci., Vol. 29, No. 3, 1983, 273–287

    MATH  Google Scholar 

  5. Chang, T. C. and Wysk, A.: An Introduction to Automated Process Planning Systems, Prentice-Hall, Englewood Cliffs, N. J., 1985

    Google Scholar 

  6. Stecke, K. E. and Morin, T. L.: Optimality of Balanced Workload in Flexible Manuf. Systems, Eur. J. Oper. Res., Vol. 20, 1985

    Google Scholar 

  7. Stecke, K. E. and Solberg, J. J.: The Optimality of Unbalancing both the Workloads and Machine Group Sizes in Closed Queueing Networks of Multi-Servers Queues, Oper. Res. (forthcoming)

    Google Scholar 

  8. Kusiak, A.: Application of Operational Research Models and Techniques in Flex. Manuf. Systems, Eur. J. Oper. Res., Vol. 24, 1986

    Google Scholar 

  9. Wittrock, R. J.: An Adaptive Scheduling Algorithm for Flexible Flow Lines, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598, Report RC 11387 (#51282) 9/24/85, Sept. 1985

    Google Scholar 

  10. Kusiak, A.: Flexible Manufacturing Systems: A Structural Approach, Int. J. of Prod. Res., Vol. 23, 1985, 1057–1073

    Article  Google Scholar 

  11. Kusiak, A. and Finke, G.: Modeling and Solving the Flexible Forging Module Scheduling Problem, Eng. Opt., Vol. 12, 1987, 1–12

    Article  Google Scholar 

  12. Kumar, K. R., Kusiak, A., and Vanelli, A.: Grouping of Parts and Components in Flexible Manufacturing Systems, Eur. J. Oper. Res., Vol. 24, 1986, 387–397

    Article  Google Scholar 

  13. Stecke, K. E.: Design, Planning, Scheduling and Control Problems of Flex. Manuf. Problems, Ann. Oper. Res., Vol. 3, 1985, 3–12

    Article  Google Scholar 

  14. Kochhar, S. and Morris, R. J. T.: Heuristic Method for Flexible Flow Line Scheduling, J. Manuf. Syst., Vol. 6, No. 4, 1987, 299–314

    Article  Google Scholar 

  15. Gershwin, S. B., Akella, R., and Choong, Y. F.: Short-Term Production Scheduling of an Automated Manuf. Facility, IBM J. Res. Dev., Vol. 29, 1985, 392–400

    Google Scholar 

  16. Wittrock, R. J.: Scheduling Algorithms for Flexible Flow Lines, IBM J Res. and Dev., Vol. 29, 401–412

    Google Scholar 

  17. Finke, G. and Kusiak, A.: Network Approach to Modelling of Flexible Manufacturing Modules and Cells, Proc. Conf. Production Systems, INRIA, Paris, 1985

    Google Scholar 

  18. Aliev, R. A.: Production Control on the Basis of Fuzzy Models, Fuzzy Sets and Systems, Vol. 22, No. 1, 1987, 43–56

    Article  MATH  Google Scholar 

  19. Bastos, J. M.: Batching and Routing: Two Functions in the Operational Planning of Flex. Manuf. Systems, Eur. J. Oper. Res., Vol. 33, No. 3, 1988, 230–244

    Article  MathSciNet  Google Scholar 

  20. Jackson, R. H. F. and Jones. A. W. T.: Architecture for Decision Making in the Factory of the Future, Interfaces (Providence, Rhode Island), Vol. 17, No. 6, 1987, 15–28

    Google Scholar 

  21. Mc Geough, J. E. (Ed.): Int. Conf. on Computer-Aided Production Engineering, Edinburgh, Scotl., 1986, Mechanical Eng. Publ. Ltd., Bury St. Edmunds, England, 1986

    Google Scholar 

  22. Wilson, J. M.: Formulation and Solution of a Set of Sequencing Problems for Flexible Manufacturing Systems, Proc. Inct. Mech. Eng. Part B, Vol. 201, No. 4, 1987, 247–249

    Article  Google Scholar 

  23. Kusiak, A. and Chen, M.: Expert Systems for Planning and Scheduling Manuf. Systems, Eur. J. Oper. Res., Vol. 34, No. 2, 1988, 113–130

    Article  MathSciNet  Google Scholar 

  24. Kusiak, A. and Heragu, S. S.: Computer Integrated Manufacturing-A Structural Perspective, IEEE Network, Vol. 2. No. 3, 1988, 14–22

    Article  Google Scholar 

  25. Wittrock, R. J.: Adaptable Scheduling Algorithm for Flexible Flow Lines, Oper. Res., Vol. 36, No. 1988, 445–453

    Google Scholar 

  26. Avonts, L. H. and Van Wassenhove, L. N.: Part Mix and Routing Mix Problem in FMS-A Coupling Between an LP Model and a Closed Queueing Network, Int. J. Prod. Res., Vol. 26, No. 12, 1988, 1891–1902

    Article  Google Scholar 

  27. Lashkari, R. S., Dutta, S. P., and Padhye, A. M.: New Formulation of Operation Allocation Problem in Flexible Manufacturing Systems, Mathematical Modelling and Computational Experience, Int. J. Prod. Res., Vol. 25, No. 9, 1987, 1267–1283

    Article  MATH  Google Scholar 

  28. Avonts, L. H., Gelders, L. F., and Van Wassenhove, L. N.: Allocating Work Between an FMS and a conventional Job Shop-A Case Study, Eur. J. Oper. Res., Vol. 33, No. 3, 1988, 245–256

    Article  Google Scholar 

  29. Heragu, S. S. and Kusiak, A.: Machine Layout Problem in Flexible Manufacturing Systems, Oper. Res., Vol. 36, No. 2, 1988, 258–268

    Google Scholar 

  30. De Werra, D.: On the Two-Phase Method for Preemptive Scheduling, Eur. J. Prod. Res., Vol. 37, No. 2, 1988, 227–235

    MATH  Google Scholar 

  31. Rembold, U. and Levi, P.: Factory of the 90s, Comput. Mech. Eng., Vol. 6, No. 6, 1988, 30–37

    Google Scholar 

  32. Escudero, L. F. and Perez-Sainz De Rozas, G.:Production Planning in FMS, Questiio, Vol. 6, No. 1, 1987, 85–114

    Google Scholar 

  33. Gupta, M. C., Judt, C., Gupta, Y. P., and Balakrishnan, S.: Expert Scheduling System for a Prototype Flexible Manufacturing Cell-A Framework, Comp. and Oper. Res., Vol. 6, No. 4, 1989, 363

    Google Scholar 

  34. Kimemia, J. G. and Gershwin, S. B.: Flow Optimization in Flexible Manuf. Systems, Int. J. Prod. Res., Vol. 23, No. 1, 1985, 81–96

    Article  Google Scholar 

  35. Kusiak, A.: Integer Programming Approach to Process Planning, Int. J. of Advanced Manuf. Technology, 1986, 73–83

    Google Scholar 

  36. Philipson, R. H. and Ravindran, A.: Applications of Mathematical Programming to Metal Cutting, Math. Progr., Vol. 11, 1979, 116–134

    MATH  Google Scholar 

  37. Greene, T. J. and Sadowski, R. P.: A Mixed-integer Program for Loading and Scheduling Multiple Flexible Manufacturing Cells, Eur. J. Oper. Res., Vol. 24, 1986, 379–386

    Article  MATH  Google Scholar 

  38. Greene, T. J. and Sadowski, R. P.: Loading the Cellularly Divided Group Technology Manufacturing Systems, Proc. of the AIIE Fall Conference, 1980

    Google Scholar 

  39. Greene, T. J. and Sadowski, R. P.: Celluar Manufacturing Control. J. of Manufacturing Systems, Vol. 2, No. 2, 1983, 137–146

    Article  Google Scholar 

  40. Buzacott, J. A and Shanthikumar, J. G.: Models for Understanding Flex. Manuf. Systems, AIIE Trans., Vol. 12, No. 4, 1980, 339–350

    Google Scholar 

  41. Philipoom, P. R., Rees, L. P., Taylor, B. W. and Huang, P. Y.: A Mathematical Programming Approach for Determining Work-Center Lotsizes in a Just-In-Time System with Signal Kanbans, Int. J. Prod. Res., Vol. 28, No. 1, 1990, 1–15

    Article  Google Scholar 

  42. Monden, Y.: How Toyota Shortened Supply Lot Production Time, Waiting Time, and Conveyance Time, Ind. Eng., Vol. 13, 1981, 22–30

    Google Scholar 

  43. Escudero, L. F.: A Mathematical Formulation of a Hierarchical Approach for Prod. Planning in FMS, in VII. 1–77, 1987, 231–245

    Google Scholar 

  44. Heragu, S. S. and Kusiak, A.: Machine Layout-An Optimization and Knowledge-Based Approach, Int. J. Prod. Res., Vol. 28, No. 4, 1990, 615–635

    Article  Google Scholar 

  45. Heragu, S. S.: Machine Layout-An Optimization and Knowledge-Based Approach, Ph.D. Diss., Dept. of Mechanical and Industrial Engineering, Univ. of Manitoba, Winnipeg, Canada, 1988

    Google Scholar 

  46. Sawik, T.: Modeling and Scheduling of a Flexible Manufacturing System, Eur. J. Oper. Res., Vol. 45, No. 2, 1990, 177–190

    Article  MathSciNet  MATH  Google Scholar 

  47. Hintz, G. W., and Zimmermann, H.-J.: A Method to Control Flexible Manuf. Systems, Eur. J. Oper. Res., Vol. 41, No. 3, 1989, 321–334

    Article  Google Scholar 

  48. Kusiak, A.: KBSS-A Knowledge Based System for Scheduling in Automated Manufacturing, Mathematical and Computer Modelling (Oxford), Vol. 13, No. 3, 1990, 37–55

    Article  MATH  Google Scholar 

  49. Escudero, L. F.: A Production Planning in FMS, Annals of Operations Research, Vol. 17, 1989, 69–104

    Article  MATH  Google Scholar 

  50. Miltenburg. G. J., Steiner, G., and Yeomans, S.: A Dynamic Programming Algorithm for Scheduling Mixed-Model, Just-In-Time Production Systems, Mathematical and Computer Modelling (Oxford), Vol. 13, No. 4, 1990, 57–66

    Google Scholar 

  51. Miltenburg, G. J.: Level Schedules for Mixed-Model Assembly Lines in Just-In-Time Prod. Syst., Mgmt. Sci., Vol. 35, 1989, 192–207

    MATH  Google Scholar 

  52. Kusiak, A.: Artificial Intelligence and Operations Research in Flexible Manufacturing Systems, Inf. Proc. and Oper. Res., Vol. 25, No. 1, 1987, 2–22

    Google Scholar 

  53. Groeflin, H., Luss, H., Rosenwein, M. B., and Wahls, E. T.: Final Assembly Sequencing for Just-In-Time Manufacturing, Int. J. Prod. Res., Vol. 27, No. 2, 1989, 199–213

    Article  Google Scholar 

  54. Hall, R. W.: Zero Inventories, Dow Jones-Irwin, Homewood, III., 1983

    Google Scholar 

  55. Huang, P. Y., Ress, L. P., and Taylor, B. W.: The Japanese Just-In-Time Technique (with Kanbans) for a Multiline, Multistage Production System, Decision Sciences, Vol. 14, 1983, 326–344

    Article  Google Scholar 

  56. Browne, J., Harhen, J., and Shivnan, J.: Production Management Systems—A CIM Perspective, Addison-Wesley, London, 1988

    Google Scholar 

VII.S Mineralölindustrie

  1. Aonuma, T, Nishi, T., and Takai, E.: Implementation of a Decomposition-Coordination Approach to Refinery Production Scheduling, Int. J. Prod. Res., Vol. 21, No. 6, 1983

    Google Scholar 

  2. Koehler, R.: Der Einsatz von Datenverarbeitungsanlagen fir Optimierungsrechnungen bei Mineralölraffinerien, Elektronische Datenverarbeitung, Vol. 9, No. 7, 1967, 306–311

    Google Scholar 

  3. Garvin, W. W. Crandall, H. W., John, J. B., and Spellman, R. A.: Applications of Linear Programming in the Oil Industry, Management Science, Vol. 3, 1957, 407–430

    Article  MathSciNet  MATH  Google Scholar 

  4. Manne, A.: Scheduling of Petroleum Refinery Operations, Havard Economic Studies 48, Havard Univ. Press, Cambridge Univ. Press, Cambridge, Mass., 1956

    Google Scholar 

  5. Mc Coll, W. H.: Management and Operations Research in an Oil Company, Operations Research Quarterly, Vol. 20, 1969, 64–65

    Google Scholar 

  6. Catchpole, A. R.: An Application of LP to Integrated Supply Problems in the Oil Industry, Oper. Res. Quart., Vol. 13, 1962, 163–169

    Google Scholar 

  7. Charnes, A., Cooper, W. W., and Mellon, B.: Blending Aviation Gasolines—A Study in Programming Interdependent Activities in an Integrated Oil Company, Econometrica, Vol. 20, 1952, 135–159

    Article  Google Scholar 

  8. Charnes, A. Cooper, W. W., and Mellon, B.: A Model for Programming and Sensitivity Analysis in an Integrated Oil Company, Econometrica, Vol. 22, No. 2, 1954

    Google Scholar 

  9. Symonds, G. H.: Linear Programming Solves Gasoline Refinery and Blending Problems, Ind. and Eng. Chemistry, Vol. 48, No. 3, 1956

    Google Scholar 

  10. Magoulas, K., Marinos-Kouris, D., and Lygeros, A.: Instructions are Given for Building Gasoline-Blending L. P., Oil Gas J., Vol. 86, No. 27, 1988, 32

    Google Scholar 

  11. Magoulas, K., Marinos-Kouris, D., and Lygeros, A.: Actual Blending Liner Programming Model is Developed, Oil Gas J., Vol. 86, No. 29, 1988, 44–48

    Google Scholar 

  12. Cheney, L. K., Ullman, R. J., and Kawarantani, T. T.: The Significance of Mathematical Programming in the Business World, RAND Symposium on Math, Programming 1959, RAND Report R-351, 1960

    Google Scholar 

  13. Prince, B., Purrington, B., Ramsey, J., and Pope, J.: Gasoline Blending at Texaco Using Nonlinear Programming, Presented at TIMS/ORSA National Meeting, Chicago, 1983

    Google Scholar 

  14. Olsbu, A. and Loeken, P. A.: Mixed-Integer Programming Model for the Design and Planning of Power Systems in Oil Production Platforms, Eng. Costs Prod. Econ., Vol. 14, No. 4, 1988, 281–296

    Article  Google Scholar 

  15. Sullivan, J.: Application of Mathematical Programming Methods to Oil and Gas Field Development Planning, Math. Progr., Vol. 42, No. 1, 1988, 189–200

    Article  Google Scholar 

  16. Shepard, S. W.: Computerized Fleet Planning for Bulk Petroleum Products, Exxon Corporation, CCS Department Paper, Florham Park, New Jersey, 1984

    Google Scholar 

  17. Diwekar, U. M., Madhavan, K. P., Swaney, R. E.: Optimization of Multicomponent Batch Distillation Columns, Ind. Eng. Chem. Res., 1989, 1011–1017

    Google Scholar 

  18. Aboudi, R. et al.: A Mathematical Programming Model for the Development of Petroleum Fields and Transport Systems, Eur. J. Oper. Res., Vol. 43, No. 1, 1989, 13–25

    Article  MathSciNet  Google Scholar 

  19. Diwekar, U. M.: Simulation, Design and Optimization of Multicomponent Batch Distillation Columns, Ph.D. Thesis, IIT Bombay, India, 1988

    Google Scholar 

  20. Brown, G. W., Graves, G. W., and Ronen, D.: Scheduling Ocean Transportation of Crude Oil, Mgmt. Sci., Vol. 33, No. 3, 1987, 335–346

    Google Scholar 

  21. Ramsey, J. R. Jr. and Truesdale, P. B.: Blend Optimization Integrated into Refinery-Wide Strategy, Oil and Gas J., Vol. 88, No. 12, 1990, 40–44

    Google Scholar 

  22. Bodington, C. E. and Baker, T. E.: A History of Mathematical Programming in the Petroleum Industry, Interfaces, Vol. 20, No. 4, 1990, 117–127

    Article  Google Scholar 

  23. Symonds, G. H.: Linear Programming—The Solution of Refinery Problems, ESSO Standard Oil Company, New York, 1955

    Google Scholar 

VII.6 Mischungsplanung

  1. Swanson, E. R.: Solving Minimum-Cost Feed Mix Problems, Journal of Farm Economics, Vol. 37, 1955, 135–139

    Article  Google Scholar 

  2. Van de Panne, C: Minimum Cost Cattle Feed Under Probabilistic Protein Constraints, Mgmt. Sci., Vol. 3, No. 3, 1963

    Google Scholar 

  3. Symonds, G. H.: Linear Programming Solves Gasoline Refinery and Blending Problems, Ind. Eng. Chemistry, Vol. 48, No. 3, 1956

    Google Scholar 

  4. Smith. V. E.: Linear Programming Models for the Determination of Palatable Human Diets, J. of Farm Econ., Vol. 41, 1959, 272–283

    Article  Google Scholar 

  5. Thormaehlen, M. V.: Ein computergestütztes Produktionsplanungssystem für Rezepturbetriebe, Betriebsw. Verl. Dr. Gabler, Wiesbaden, 1974

    Google Scholar 

  6. Koehler, R.: Der Einsatz von Datenverarbeitungsanlagen für Optimierungsrechnungen bei Mineralölraffinerien, Elektronische Datenverarbeitung, Vol. 9, No. 7, 1967, 306–311

    Google Scholar 

  7. Newman, P.: Some Calculations on Least-Cost Diets Using the Simplex Method, Oxford Univ., Bull Institute of Statistics, Vol. 17, 1955, 303–320

    Google Scholar 

  8. Williams, H. P. and Redwood, A. C.: A Structured Linear Programming Model in the Food Ind., Oper. Res. Quart., Vol. 25, 1974, 517–527

    MATH  Google Scholar 

  9. Jones, W. G. and Rope, C. M.: Linear Programming Applied to Production Planning—A Case Study, Oper. Res. Quart., Vol. 15, 1964, 293–302

    Google Scholar 

  10. Charnes, A., Cooper, W. W., and Mellon, B.: Blending Aviation Gasolines, Econometrica, Vol. 20, 1952, 135–159

    Article  Google Scholar 

  11. IBM: Aluminium Alloy Blending, IBM Form No. GE20–0127

    Google Scholar 

  12. IBM: Cotton Blending, IBM Form No. GE20–0164

    Google Scholar 

  13. IBM: Feed Manufacturing, IBM Form No. GE20–0148

    Google Scholar 

  14. IBM: Gasoline Blending, IBM Form No. GE20–0168

    Google Scholar 

  15. IBM: Ice Cream Blending, IBM Form No. GE20–0156

    Google Scholar 

  16. IBM: Meat Blending, IBM Form No. GE20–0161

    Google Scholar 

  17. Fisher, W. D. and Schruben, L. W.: Linear Programming Applied to Feed Mixing under Different Price Conditions, J. of Farm Economics, Vol. 53, 1953, 471–483

    Article  Google Scholar 

  18. Hutton, R. F. and Mc Alexander, R. H.: A Simplified Feed-Mix Model. J. of Farm Economics, Vol. 39, 1957

    Google Scholar 

  19. Waugh, F. V.: The Minimum-Cost Dairy Feed, J. of Farm Economics, Vol. 33, No. 3, 1951, 299–310

    Article  Google Scholar 

  20. Thomas, G. S., Jennings, J. C., and Abbott, P.: A Blending Problem Using Integer Progr. On-Line, Math. Progr. Study, Vol. 9, 1978, 30–47

    Article  Google Scholar 

VII.7 Vertriebsplanung

  1. Kilger, W.: Optimale Produktionsplanung und Absatzplanung, Entscheidungsmodelle für den Produktions-und Absatzbereich industrieller Betriebe, Westdeutscher Verlag, Opladen, 1973

    Google Scholar 

  2. Lott, R.: Kostenoptimaler Vertrieb eines Konsumgutes einschliesslich Standortbestimmung mit ganzzahliger linearer Optimierung, Zeitschr. für Oper. Res., Vol. 18, No. 6, 1974, 229–235

    Google Scholar 

  3. Bard, Y.: Production-Transportation-Marketing Model, IBM New York Scientific Center, Report No. 320–2933, New York, 1966

    Google Scholar 

  4. Bass, F. M. et al. (Eds.): Mathematical Models and Methods in Marketing, R. D. Irwin, Homewood, III., 1961

    Google Scholar 

  5. Müller-Merbach, H.: Operations Research in Marketing—Anwendungsmöglichkeiten, Battelle Institut, Marketing, Frankfurt/M., 1968

    Google Scholar 

  6. Topritzhofer, E.: Modelltheoretische Ansätze zur optimalen Lösung von Logistics Probl. im Marketing, Der Markt, H. 35, 1970, 71–77

    Google Scholar 

  7. Rao, V. R. and Thomas, L. J.: Dynamic Models for Sales Promotion Policies, Oper. Res. Quarterly, Vol. 24, 1973, 403–417

    Google Scholar 

  8. Oral, M. and Kettani, O.: A Mathematical Programming Model for Market Share Prediction, Int. J. Forecasting, Vol. 5, No. 1, 1989, 59–68

    Article  Google Scholar 

  9. Oral, M. and Ozkan, A. O.: An Empirial Study on Measuring Industrial Competitiveness, J. Oper. Res. Soc., Vol. 37, No. 4, 1986, 345–354

    Google Scholar 

  10. Sinha, P. and Zoltners, A. A.: Integer Programming Models for Sales Resources Allocation, Mgmt. Sci., Vol. 26, 1980, 242–260

    MATH  Google Scholar 

VII.8 Standortplanung

  1. Balinski, M. L.: Integer Programming, Methods, Uses, Computation, Mgmt. Sci., Vol. 12, No. 3, 1965, 253–311

    MathSciNet  MATH  Google Scholar 

  2. Domschke, W.: Modelle und Verfahren zur Bestimmung betrieblicher und innerbetrieblicher Standorte—Ein überblick, Zeitschr. für Oper. Res., Vol. 19, No. 2, 1975, 13–41

    MathSciNet  Google Scholar 

  3. Heinhold, M.: Ein Operations-Research-Ansatz zur Bestimmung von Standorten und Einzugsbereichen von Krankenversorgungsbetrieben, Zeitschr. für Oper. Res., Vol 19, No. 4, 1975, 103–118

    Google Scholar 

  4. Heinhold, M.: Lokations-und Allokationsprobleme bei Kranken-versorgungsbetrieben, Diss., München, 1974

    Google Scholar 

  5. Guignard, M.: and Spielberg, K.: Algorithms for Exploiting the Structure of the Simple Plant Location Problem, Ann. Discrete Math., Vol. 1, 1977, 247–271

    Article  MathSciNet  Google Scholar 

  6. Toregas, C., Swain, R., ReVelle, C., and Bergman, L.: The Location of Emergency Service Facilities, Oper. Res., Vol. 19, 19711, 1363–1373

    Google Scholar 

  7. Feldman, E. F., Lehrer, A., and Ray, T. L.: Warehouse Location under Continuous Economies of Scale, Mgmt. Sci., Vol. 12, 1966, 670–684

    Google Scholar 

  8. Frazer, W. D.: An Approximate Alogorithm for Plant Location Under Piecewise Linear Concave Costs, IBM Res. Report RC-1875, 1967

    Google Scholar 

  9. Gray, P.: Mixed-Integer Programming Algorithms for Site Selection and Other Fixed Charge Problems Having Capacity Constraints, Techn. Report 101, Dept. of Operations and Statistics, Stanford Univ., Stanford, CA., 1967

    Google Scholar 

  10. Klein, M. and Klimpel, R. R.: Application of Linearly Constrained Nonlin. Optimiz. to Plant Location and Sizing, J. Ind. Eng., 1967

    Google Scholar 

  11. Baumol, W. J. and Wolfe, P.: A Warehouse Location Problem, Operations Research, Vol. 6, No. 2, 1958, 252–263

    Article  MathSciNet  Google Scholar 

  12. Spielberg, K.: Algorithms for the Simple Plant Location Problem with Some Side Conditions, Oper. Res., Vol. 17, 1969, 85–111

    MATH  Google Scholar 

  13. David, P. S. and Ray, T. L.: A Branch-and-Bound Algorithm for the Capacitated Facilities Location Problem, Nay. Res. Logist. Quart., Vol. 16, 1969, 331–344

    Google Scholar 

  14. Bilde, O. and Krarup, F.: Sharp Lower Bounds and Efficient Algorithms for the Simple Plant Location Problem, Ann. of Discrete Math., Vol. 1, 1977, 79–97

    Article  MathSciNet  Google Scholar 

  15. Armour, G. C. and Buffa, E. S.: A Heuristic Algorithm and Simulation Approach to Relative Location of Facilities, Mgmt. Sci., Vol. 9, No. 2, 1963

    Google Scholar 

  16. Balinski, M. L. and Wolfe, O.: On Bender’s Decomposition and a Plant Location Problem, Mathematica Working Paper, ARO-27, Dec. 1963

    Google Scholar 

  17. Liebmann, H.-P.: Die Standortwahl als Entscheidungsproblem. Ein Beitrag zur Standortbestimmung von Produktions-und Handelsbetrieben, Physica, Würzburg, 1971

    Google Scholar 

  18. Beck, S.: Probleme optimaler Standortwahl, Qualitätskontrolle und Operational Research, Heft 10, 1960

    Google Scholar 

  19. Cooper, L.: The Transportation-Location Problem, Oper. Res., Vol. 20, No. 2, 1972, 94–108

    MATH  Google Scholar 

  20. Elson D. G.: Site Location Via Mixed-Integer Programming, Oper. Res. Quart., Vol. 23, 31–43

    Google Scholar 

  21. Guignard, M.: Lagrangean Dual Ascent Algorithm for Simple Plant Location Probl., Eur. J. Oper. Res., Vol. 35, No. 2, 1988, 193–200

    Article  MathSciNet  MATH  Google Scholar 

  22. Leung, J. M. Y. and Magnanti, T. L.: Valid Inequalities and Facets of the Capacitated Plant Location Problem, Math. Progr., Vol. 44, 1989, 271–292

    Article  MathSciNet  MATH  Google Scholar 

  23. Erlenkotter, D.: A Dual-Based Procedure for Uncapacitated Facility Location, Operations Research, Vol. 26, 992–1009

    Google Scholar 

  24. Fisher, M. L. and Hochbaum, D. S.: Database Location in Computer Networks, J. ACM, Vol. 27, 718–735

    Google Scholar 

  25. Guignard, M. and Spielberg, K.: A Direct Dual Method for the Mixed Plant Location Problem with Some Side Constraints, Math. Progr.,Vol. 17, 1979, 198–228

    Article  MathSciNet  MATH  Google Scholar 

  26. Maranzana, F. E.: On the Location of Supply Points to Minimize Transportation Costs, IBM Systems Journal, 1963, 129–135

    Google Scholar 

  27. Warszawski, A.: Multi-Dimensional Location Problems, Oper. Res., Quart., Vol. 24, 1973, 165–179

    Article  MATH  Google Scholar 

  28. Erkut, E., Francis, R. L., Lowe, T. J., and Tamir, A.: Equivalent Mathematical Programming Formulations of Monotonic Tree Network Location Problems, Oper. Res., Vol. 37, No. 3, 1989, 447–461

    MathSciNet  MATH  Google Scholar 

  29. Love, R. F., Morris, J. G., and Wesolowsky, G. O.: Facilities Location—Models and Methods, North-Holland, Amsterdam, 1988

    MATH  Google Scholar 

  30. Erlenkotter, D.: A Dual-Based Procedure for Uncapacitated Facility Location, Oper. Res., Vol. 26, 1978, 992–1009

    MathSciNet  MATH  Google Scholar 

  31. Gavett, J. W. and Plyter, N. V.: The Optimal Assignment of Facilities to Locations by Branch-and-Bound, Oper. Res., Vol. 14, 1966, 210–233

    Google Scholar 

  32. Francis, R. L. and White, J. A.: Facility Layout and Location—An Analytical Approach, Prentice-Hall, Englewood Cliffs, N. J., 1974

    Google Scholar 

  33. Francis, R. L., Mc Ginnis, L. F., and White, J. A.: Location Analysis, Eur. J. of Oper. Res.,Vol. 12, 1983, 220–252

    Article  MATH  Google Scholar 

  34. Marks, D. H., ReVelle, C., and Liebman, J. C.: Mathematical Models for Location—A Review, J. Urban Plann. Devl., Vol. 96, 1970, 81–93

    Google Scholar 

  35. ReVelle, C. and Swain R.: Central Facilities Location, Geogrl. Analysis, Vol. 2, 1970, 30–42

    Google Scholar 

  36. Fortenberry, J. C., Mitra, A., and Willis, R. D. M.: A Multi-Criteria Approach to Optimal Emergency Vehicle Location Analysis, Comp. and Eng., Vol. 16, No. 2, 1989, 339–347

    Google Scholar 

  37. Tompkins, J. A. and White, J. A.: Facilities Planning, Wiely, New York, 1984

    Google Scholar 

VII.9 Transport-und Tourenplanung

  1. Uebe, G.: Optimale Fahrpläne, Springer, Berlin, 1970

    MATH  Google Scholar 

  2. Golden, B., Assad, A., and Dahl, R.: Analysis of a Large Scale Vehicle Rounting Problem With an Inventory Component, Large Scale Syst., Vol. 7, No. 2, 1984

    Google Scholar 

  3. Waters, C. D. J.: Interactive Vehicle Scheduling, J. of the Oper. Res., Soc., Vol. 35, No. 9, 1984

    Google Scholar 

  4. Carraresi, P. and Gallo, G.: Network Models for Vehicle and Crew Scheduling, Eur. J. of Oper. Res., Vol. 16, No. 2, 1984, 139–151

    Article  MathSciNet  MATH  Google Scholar 

  5. Christofides, N.: Period Routing Problem, Networks, Vol. 14, No. 2, 1984

    Google Scholar 

  6. Frank, H. et al.: Optimierung der Transporte technischen Gasen in Stahlflaschen, Chem. Techn. (DDR), Vol. 38, Heft 9, Sept. 1986

    Google Scholar 

  7. Christofides, N., Mingozzi, A., and Toth, P.: Exact Methods for Vehicle Routing, Math. Progr., 1981

    Google Scholar 

  8. Christofides, N., Mingozzi, A., and Toth, P.: State Space Relaxations for the computation of Bounds to Routing Problems, Networks, 1981

    Google Scholar 

  9. Christofides, N.: Uses of a Vehicle Routing and Scheduling System in Strategic Distribution Planning, in X-47, 1986

    Google Scholar 

  10. Stein, D. M.: An Asympotoic Probabilistic Analysis of a Routing Problem, Math. of Oper. Res., Vol. 3, No. 2, 1978

    Google Scholar 

  11. Clarke, G. and Wright, J. W.: Sceduling Vehicles from a Central Depot to a Number of Delivery Points, Oper. Res., Vol. 12, 1964, 568–581

    Google Scholar 

  12. Dantzig, G. B. and Ramser, J. H.: The Truck Dispatching Problem, Management Science, Vol. 6, No. 1, 1960, 80–91

    Article  MathSciNet  Google Scholar 

  13. Balinski, M. L. and Quandt, M. H.: On an Integer Program for a Delivery Problem, Oper. Res., Vol. 12, 1964, 300–304

    Google Scholar 

  14. Pierce, J. F.: Applications of Combinatorial Programming Algorithms for a Class of All Zero-One Integer Programming Problems, Management Science, Vol. 15, 1968, 191–209

    Article  MathSciNet  Google Scholar 

  15. Christofides, N., Mingozzi, A., and Toth, P.: The Vehicle Routing Problem, in VIII.1. 6–05, 1979

    Google Scholar 

  16. Desrochers, M., Lenstra, J. K., Savelsbergh, M. W. P., and Soumis, F.: Vehicle Routing with Time Windows—Optimization and Approximation, Centrun voor Wiskunde en Informatica, Amsterdam, Dept. of Oper. Res., and System Theory, 1987

    Google Scholar 

  17. Szwarc, W.: The Transportation Problem with Stochastic Demand, Mgmt. Sci., Vol. 11, 1964, 35–50

    Google Scholar 

  18. Arabeyre, J. P., Feanley, J., Steiger F. C. and Teather, W.: The Airline Scheduling Problem—A Survey, Trans. Sci., Vol. 3, 1969, 140–163

    Google Scholar 

  19. Cavanagh, R. A.: Airline Crew Scheduling, Presented at XII TIMS International Meeting, Kyoto, Japan, July 1975

    Google Scholar 

  20. Nicoletti, B.: Autom. Crew Rostering, Trans. Sci., Vol. 9, 1975, 33

    Google Scholar 

  21. Babic, O.: Optimization of Refuelling Truck Fleets at an Airpot, Transp. Res. Part B, Vol. 21B, No. 6, 1987, 479–487

    Article  Google Scholar 

  22. Bard, J. F. and Cunningham, I. G.: Improving Through-Flight Schedules, IIE Trans., Vol. 19, No. 3, 1987, 242–251

    Article  Google Scholar 

  23. Brucker, P. and Hurink, J.: Railway Scheduling Problem, Zeitschrift für Oper. Res., Ser. A, Vol. 30, No. 5, 1986, 223–227

    MathSciNet  MATH  Google Scholar 

  24. Crainic, T. G. and Rousseau, J.-M.: Column Generating Principle and The Airline Crew Scheduling Problem, Infor J., Vol. 25, No. 2, 1987, 136–151

    MATH  Google Scholar 

  25. Waters, C. D. J.: Solution Procedure for the Vehicle Scheduling Problem Based on Iterative Route Improvement, J. of the Oper. Res. Soc., Vol. 38, No. 9, 1987, 833–839

    MATH  Google Scholar 

  26. Bellman, R. E.: On a Routing Problem, Quart. Appt. Math., Vol. 16, 1958, 87–90

    MATH  Google Scholar 

  27. Balas, E.: Solution of Large-Scale Transportation Problems Through Aggregation, Rumän. Akademie der Wiss., Mathem. Institut, 1963

    Google Scholar 

  28. Balas, E.: The Dual Method for the Generalized Transportation Problem Mgmt. Sci., Vol. 12, 1966, 555–568

    MathSciNet  MATH  Google Scholar 

  29. Balas, E. and Hammer, P. L.: On the Generalized Transportation Problem, Mgmt. Sci., Vol. 11, 1964, 188–202

    MathSciNet  MATH  Google Scholar 

  30. Balas, E. and Hammer, P. L.: On the Transportation Problem, Part I and II, Cahiers du Centre d’Etudes de Recherche Operationelle, Vol. 4, 1962, 98–116 and 131–160

    Google Scholar 

  31. Balinski. M. L.: Fixed-Cost Transportation Problems, Naval Research Logistics Quarterly, Vol. 8, 1961, 41–54

    Article  Google Scholar 

  32. Balinski, M. L. and Gomory, R. E.: A Primal Method for Assignment and Transportation Probl., Mgmt. Sci., Vol. 10, 1964, 578–593

    Google Scholar 

  33. Bard, Y.: Production-Transportation-Marketing Model, IBM New York Scientific Center, Report No. 320–2933, New York, 1966

    Google Scholar 

  34. Barth, U.: Das dreidimensionale Transportproblem, Univ. Mainz, Lehrstuhl für Betriebsw., Forschungsbericht 1–1968, Mainz, 1968

    Google Scholar 

  35. Barth, U.: Das dreidimensionale Transportproblem der linearen Planungsrechung-Eigenschaften und Lösung, Techn. Hochschule Darmstdt, Fakultät für Math. und Physik, Diss., Darmstadt, 1971

    Google Scholar 

  36. Liebling, T. M.: Graphentheorie in Planungs-und Transportproblemen, am Beispiel des städt. Strassendienstes, Springer, Berlin, 1970

    Google Scholar 

  37. Beale, E. M. L.: An Algorithm for Solving the Transportation Problem When Shipping Cost Over Each Route is Convex, Nay. Res. Logist. Quart., Vol. 6, 1959, 43–56

    Article  MathSciNet  Google Scholar 

  38. Beckmann, M. J., Mc Guire, C. B. and Winsten, C.: Studies in the Economics of Transportation, Yale Univ. Press, New Haven, 1956

    Google Scholar 

  39. Gaskell, T. J.: Bases for Vehicle Fleet Scheduling, Oper. Res., Quart., Vol. 18, 1967, 281

    Article  Google Scholar 

  40. Lourie, J. R.: Topology ans Computation of the Generalized Transportation Problem, Mgmt. Sci., Vol. 11, 1964, 177–187

    Google Scholar 

  41. Williams, A. C.: A Treatment of Transportation Problems by Decomposition, J. SIAM, Vol. 10, 1962, 35–48

    MATH  Google Scholar 

  42. Williams, A. C.: A Stochastic Transportation Problem, Oper. Res., Vol. 11, 1963, 759–770

    MATH  Google Scholar 

  43. Iri, M.: A New Method for Solving Transportation Network Problems, J. Oper. Res. Soc. of Japan, Vol. 3, 1960, 27–87

    Google Scholar 

  44. Witten, P. amd Zimmermann, H.-G.: Stochastische Transportprobleme, Zeitschr. für Oper. Res., Vol. 22, 1978, 55–68

    Article  MathSciNet  MATH  Google Scholar 

  45. Hitchcock, F. L.: The Distribution of a Product from Several Sources to Numerous Locations, J. Math. Phys., Vol. 20, 1941, 224–230

    MathSciNet  Google Scholar 

  46. Houthakker, H. S.: On the Numerical Solution of the Transportation Problem, Operations Research, Vol. 3, 1945, 210–214

    Article  MathSciNet  Google Scholar 

  47. Wilson, D.: A Mean Cost Approximation for Transportation Problems, with Stochastic Demand, Nay. Res. Logist. Quart., Vol. 22, 1975, 181–187

    Article  MATH  Google Scholar 

  48. Lindenberg, W.: Minimierung der Fahrzeuganzahl bei Transportproblemen, in VIII.1. 1–57, 1985

    Google Scholar 

  49. Paulik, R.: Tourenplanung im Dialog, in VIII.1. 1–57, 1985

    Google Scholar 

  50. Pierick, K. und Wiegand, K. D.: Aufbau und Anwendung von Arbeitshilfen, Entscheidungshilfen und Optimierungshilfen im Verkehr, in VIII.1. 1–57, 1985

    Google Scholar 

  51. Schlueter, E.: Heuristisches Verfahren zur Optimierung der Fahrzeugumläufe im öffentl. Personennahverkehr, in VIII.1. 1–57, 1985

    Google Scholar 

  52. Hentschel, D. und Wiegand, K. D.: Fahrplangestaltung und Dienstplangestaltung im öffentlichen Personennahverkehr, unterstützt durch grafische Dialogtechnik, in VIII.1. 1–57, 1985

    Google Scholar 

  53. Rommelfanger, H.: Zur Lösung linearer Verkehrsoptimierungssysteme mit Hilfe der Fuzzy-Set Theory, in VIII.1. 1–57, 1985

    Google Scholar 

  54. Junginger, W.: Notwendige und hinreichende Bedingungen für die Lösung mehrdimensionaler Transportproblem, in VIII.1. 1–57, 1981

    Google Scholar 

  55. Junginger, W.: Klassifikation der mehrdimensionalen Transportproblem, in VIII.1. 1–58, 1980

    Google Scholar 

  56. Oheigeartaigh, M.: A Fuzzy Transportation Algorithm, Fuzzy Sets and Systems, Vol. 8, No. 3, 1982, 235–244

    Article  MathSciNet  MATH  Google Scholar 

  57. Koopmans, T. C. (Ed.): Activity Analysis of Production Allocation, Wiley, New York, 1951

    MATH  Google Scholar 

  58. Dantzig, G. B.: Application of the Simplex-Method to a Transportation Problem, in VII. 09–57, 1951

    Google Scholar 

  59. Ford, L. R. and Fulkerson, D. R.: Solving the Transportation Problem, Mgmt. Sci., Vol. 3, 1956, 24–32

    Google Scholar 

  60. Ford, L. R. and Fulkerson, D. R.: Flows in Networks, Princetion University Press, Princeton, New Jersey, 1962

    Google Scholar 

  61. Bradley, G. H.: Survey of Deterministic Networks, AIIE Trans., Vol. 7, 1975, 222–234

    Article  MathSciNet  Google Scholar 

  62. Jensen, P. A. und Barnes, J. W.: Network Flow Programming, Wiley, New York, 1980

    MATH  Google Scholar 

  63. Glover, F. and Klingman, D.: Real World Applications of Network Problems and Breakthroughs in Solving Them Efficiently, Research Report CC5159, Center for Cybernetics Studies, Univ. of Texas, Austin, 1974

    Google Scholar 

  64. Herman, R. (Ed.): Theory of Traffic Flow, Elsevier, Amsterdam, 1961

    Google Scholar 

  65. Charnes, A. and Cooper, W. W.: Multicopy Traffic Models, in VII. 9, 64–1961

    Google Scholar 

  66. Carbon, A.: On a Three-Dimensional Transportation Problem, Rev. Roum. Math. Purse et Appl., Vol. 11, No. 1, 1966, 57–75

    Google Scholar 

  67. Orden, A.: The Transshipment Problem, Mgmt. Sci., Vol. 2, 1956, 276–285

    MathSciNet  MATH  Google Scholar 

  68. Kopfer, H.: Enumerationsverfahren zur exakten Lösung KVO-Optimierungsproblems im gewerbichen Gueterfernverkehr, in VIII.1. 1–57, 1985, 191–198

    Google Scholar 

  69. Domschke, W.: Logistik-Transport, München und Wien, 1981

    Google Scholar 

  70. Krolak, P., Felts, W. and Nelson, J.: A Man-Machine Approach Toward Solving the Generalized Truck-Dispatching Problem, Transp. Sci., Vol. 6, 1972, 149–170

    Google Scholar 

  71. Matthaeus, F.: Tourenplanung-Verfahren zur Einsatzdisposition von Fuhrparks, Darmstadt, 1978

    Google Scholar 

  72. Marsten, R. and Shepardson, F.: Exact Solution of Crew Scheduling Problems Using the Set Partitioning Model—Recent Successful Applications, Networks, Vol. 11, 1981, 165–177

    Article  Google Scholar 

  73. Baker, E. and Fisher, M.: Computational Results for Very Large Air Crew Scheduling Problems, OMEGA, Vol. 9, No. 6, 1981, 613–618

    Article  Google Scholar 

  74. Paessens, H.: Tourenplanung bei der regionalen Hausmuellentsorgung, Diss., Nr. 26 der Schriftenreihe des Instituts für Siedlungswasserwirtschaft der Universität Karlsruhe, 1981

    Google Scholar 

  75. Weuthen, H.-K.: Tourenplanung—Lösungsverfahren für Mehrdepotprobleme, Diss., Universität Karlsruhe, 1983

    Google Scholar 

  76. Derigs, U. und Hagberg, B.: Ein iterativer Lösungsansatz für das Rostering Problem mittels optimaler Zuordnungen, in VIII.1. 1–57, 1985, 417–420

    Google Scholar 

  77. Paessens, H.: Savings Algorithm for the Vehicle Routing Problem, Eur. J. Oper. Res., Vol. 34, No. 3, 1988, 336–344

    Article  MATH  Google Scholar 

  78. Laporte, G., Norbert, Y., and Taillefer, S.: Solving a Family of Multi-Depot Vehicle Routing and Location-Routing Problems, Transp. Sci., Vol. 22, No. 3, 1988, 161–172

    MathSciNet  MATH  Google Scholar 

  79. Christofides, N. and Eilon, S.: An Algorithm for the Vehicle-Dispatching Problem, Oper. Res. Quart., Vol. 20, 1969, 309

    Google Scholar 

  80. Christofides, N. and Eilon, S.: Expected Distances in Distribution Problems, Oper. Res. Quart., Vol. 20, 1969, 437

    Google Scholar 

  81. Carpaneto, G., Dell ‘Amico, M., Fischetti, M., and Toth, P.: A Branch-and-Bound Algorithm for the Multiple Depot Vehicle Scheduling Problem, to appear in Networks

    Google Scholar 

  82. Ali, A. I., Kennington, J. and Shetty, B.: Equal Flow Problem, Eur. J. Oper. Res., Vol. 36, No. 1, 1988, 107–115

    Article  MathSciNet  MATH  Google Scholar 

  83. Golden, B. L. and Assad, A. A. (Eds.): Vehicle Routing-Methods and Studies, North-Holland, Amsterdam, 1988

    MATH  Google Scholar 

  84. Magnanti, T. L. and Wong, R. T.: Network Design and Transp. Planning-Models and Algorithms, Transp. Sci., Vol. 18, 1984, 1–55

    Google Scholar 

  85. Meyer, R. R.: Network Optimization, in VIII.1. 1–92, 1984, 125–139

    Google Scholar 

  86. Steenbrink, P. A.: Optimiz. of Transp. Networks, Wiley, London, 1974

    Google Scholar 

  87. Koopmans, T. C.: Optimum Utilization of the Transportation System, Econometrica, Vol. 17, 1949, 3–4

    MathSciNet  Google Scholar 

  88. Simmonard, M. and Hadley, G.: Maximum Number of Iterations in the Transportation Problem, Nay. Res. Logist. Quart., Vol. 6, 1959, 125–129

    Article  Google Scholar 

  89. Bradley, G. H., Brown, C. G. and Graves, G. W.: Design and Implementation of Large Scale Primal Transshipment Algorithms, Mnagement Science, Vol. 24, 1977, 1–34

    Article  MATH  Google Scholar 

  90. Rockafellar, R. T.: Network Flows and Monotropic Optimization, Wiley, New York, 1984

    MATH  Google Scholar 

  91. Appa, G. M.: The Transportation Problem and its Variants, Oper. Res., Quart., Vol. 24, 1973, 79–99

    Article  MathSciNet  MATH  Google Scholar 

  92. Beasley, J. E.: Route First-Cluster Second, Methods for Vehicle Routing, OMEGA, Vol. 11, 1983, 403–408

    Article  Google Scholar 

  93. Mc Closkey, J. F. and Hanssmann, F.: An Analysis of Stewardess Requirements and Scheduling for a Major Airline, Nay. Res. Logist Quart., Vol. 4, 1957, 183–192

    Article  Google Scholar 

  94. Golden, B. L. and Skiscim, C. C.: Using Simulated Annealing to Solve Routing and Location Problems, Nay. Res. Logist. Quart., Vol. 33, 1986, 261–279

    Article  MathSciNet  MATH  Google Scholar 

  95. Derigs, U.: Ganzzahlige Programmierung—Methoden zur Lösung des Bottleneck Transportproblems, in VIII.1. 1–56, 1979

    Google Scholar 

  96. Magnanti, T. L. and Golden, B. L.: Network Optimization, Wiley, New York, 1985

    Google Scholar 

  97. Watson-Gandy, C. and Foulds, L. R.: The Vehicle Scheduling Problem—A Survey, The New Zealand Oper. Res., Vol. 9, No. 2 1981, 73–92

    MathSciNet  Google Scholar 

  98. Golden, B. L., Magnanti, T. L., and Nguyen, H.: Implementing Vehicle Routing Algorithms, M. I. T. Oper. Res. Center Techn. Report No. 115, 1975

    Google Scholar 

  99. Beale, E. M. L.: Two Transportation Problems, in VIII.1. 1–129, 1963, 780–788

    Google Scholar 

  100. Foster, B. A. and Ryan, D. M.: An Integer Programming Approach to the Vehicle Scheduling Problem, Oper. Res. Quart., Vol. 27, 1976, 367–384

    MathSciNet  MATH  Google Scholar 

  101. Rubin, J.: A Technique for the Solution of Massive Set Covering Problems with Application to Airline Crew Scheduling, Transp. Sci., 1973, 33–48

    Google Scholar 

  102. Laporte, G. and Nobert, Y.: Exact Algorithms for the Vehicle Routing Problem, in VII. 19–169, 1987, 147–184

    MathSciNet  Google Scholar 

  103. Assad, A. A.: Multicommodity Network Flows—A Survey, Networks, Vol. 8, 1978, 37–91

    Article  MathSciNet  MATH  Google Scholar 

  104. Kennington, J.: Multicommodity Flows—A State-of-the-Art Survey of Linear Models and Solution Techniques, Oper. Res., Vol. 26, 1978, 209–236

    MathSciNet  MATH  Google Scholar 

  105. Magnanti, T. L.: Combin. Optimiz. and Vehicle Fleet Planning—Perspectives and Prospects, Networks Vol. 11, 1981, 179–214

    Article  MathSciNet  Google Scholar 

  106. Lenstra, J. K. and Rinnoy Kan, A. H. G.: Complexity of Vehicle Routing and Scheduling Problems, Networks, Vol. 11, 1981, 221–228

    Article  Google Scholar 

  107. Shetty, B.: A Primal Simplex Specialization for the Equal Flow Problem. IIE Trans., Vol. 22, No. 1, 1990, 24–30

    Article  Google Scholar 

  108. Desrochers, M., Lenstra, J. K., and Savelsberg, M. W. P.: A Classfication Scheme for Vehicle Scheduling Problems, Eur. J. Oper. Res., Vol. 46, No. 3, 1990, 322–332

    Article  MATH  Google Scholar 

  109. Gass, S. I.: On Solving the Transportation Problem, J. Oper. Res. Soc., Vol. 41, No. 4, 1990, 291–297

    MATH  Google Scholar 

  110. Waters, C. D. J.: Expert Systems for Vehicle Scheduling, J. Oper. Res. Soc., Vol. 41, No. 6, 1990, 505–515

    Google Scholar 

  111. Golden, B. L. and Assad, A. A.: Perspectives in Vehicle Routing-Exciting New Developments, Oper. Res., Vol. 34, 1986, 803–810

    Google Scholar 

  112. Bodin, L., Golden, B. L., Assad, A. A., and Ball, M.: Routing and Scheduling of Vehicles and Crews—the State of the Art, Comp. and Oper. Res., Vol. 10, 1983, 69–211

    MathSciNet  Google Scholar 

  113. Schrage, L.: Formulation and Structure of More Complex/Realistic Routing and Scheduling Problems, Networks, Vol. 11, 1981, 229–232

    Article  Google Scholar 

  114. Solomon, M. M.: Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints, Oper. Res., Vol. 35, 1987, 254–265

    MATH  Google Scholar 

  115. Charnes, A. and Cooper, W. W.: The Stepping-Stone Method for Explaining Linear Programming Calculations in Transportation Problems, Mgmt. Sci., Vol. 1, 1954, 49–69

    MathSciNet  MATH  Google Scholar 

VII.10 Distributionsplanung

  1. Christofides, N.: Uses of a Vehicle Routing and Scheduling System in Strategic Distribution Planning, in X-47, 1986

    Google Scholar 

  2. Kearney, A. T.: Improving Productivity in Physical Distribution, Report Undertaken for CPMD, London, 1980

    Google Scholar 

  3. Bloech, J. und Ihde, G.-B.: Betriebliche Distributionsplanung-Zur Optimierung logistischer Prozesse, Physica, Würzburg, 1972

    Google Scholar 

  4. Maris, T. G., Wakefield, G. W., Johnson, E. L., and Spielberg, K.: On a Production Allocation and Distribution Problem, Management Science, Vol. 24, No. 15, 1978, 1622–1630

    Article  Google Scholar 

  5. Farrell, J.: Physical Distribution Case Studies, Boston, 1973

    Google Scholar 

  6. Hall, B.: Abstimmung von Bestellpolitiken der Läger eines mehrstufigen Distributionssystems zur Festlegung der notwendigen mittelfristigen Kapazitäten, in VIII.1. 1–57, 1985

    Google Scholar 

  7. Glover, F., Jones, G., Karney, D., Klingman, D., and Mote, J.: An Integrated Production, Distribution and Inventory Planning System, Interfaces, Vol. 9, 1979, 21–35

    Article  Google Scholar 

  8. Geoffrion, A. M. and Graves, G. W.: Multicommodity Distribution System Design by Bender’s Decomposition, Mgmt. Sci., Vol. 20, No. 5, 1974, 822–844

    MathSciNet  MATH  Google Scholar 

  9. Eilon, S., Waston-Gandy, C. D. T. and Christofides, N.: Distribution Management, Griffin, London, 1971

    Google Scholar 

  10. Bookbinder, J. H.and Reece, K. E.: Vehicle Routing Considerations in Distribution System Design, Eur. J. Oper. Res., Vol. 37, No. 2, 1988, 204–213

    Article  MathSciNet  MATH  Google Scholar 

  11. Van Roy, T. J. and Gelders, L.: Solving a Distribution Problem with Side Constraints, Eur. J. of Oper. Res., Vol. 6, No. 1, 1981, 61–66

    Article  MATH  Google Scholar 

  12. Bell, W. J., Dalberto, L. M., Fisher, M. L., Greenfield, A. J., Jaikumar, R., Kedia, P., Mack, R. G., and Prutzman, P. J.: Improving the Distribut. of Industrial Gases with an On-Line Computerized Routing and Scheduling Optimizer, Interfaces, Vol. 13, No. 6, 1983, 4–23

    Article  Google Scholar 

  13. Geoffrion, A. M.: A Guide to Computer-Assisted Methods for Distribution Systems Planning, Sloan Mgmt. Rev., Vol. 16, 1975, 17–41

    Google Scholar 

  14. Eiselt, H. A. and Laporte, G.: Integrated Planning in Distribution Systems, Intern. J. of Physical Distr. and Mater. Mgmt. (UK), Vol. 19, No. 4, 1989, 14–19

    Google Scholar 

VII.11 Ersatzteilplanung

  1. Richter, D. M.: Ausfalldichteverteilung Determiniert Langfristige Bedarfsschwankungen an Ersatzteilen und Instandhaltungsbelastungen, Maschinenbautechnik, Vol. 34, No. 9, 1985, 391–395

    Google Scholar 

  2. Mitchell, L. B.: Spare Parts Inventories, Plant Eng. (Barrington, 111.) Vol. 41, No. 10, 1978, 44–48

    Google Scholar 

  3. Kohlas, J.: Ersatzteilbemessung für reparierbare Geräte—Grund—legende Modelle und Verfahren, in VI11.1. 1–55, 1981

    Google Scholar 

  4. Kohlas, J. and Pasquier, J.: Optimization of Spares Parts for Hierarchically Decomposable Systems, in VIIL1. 1–55, 1981

    Google Scholar 

  5. Hofmann, H. W.: Optimale Ersatzteilausstattung bie der Einfuehrungneuer bzw. Ausphasung alter Waffensysteme, in VIII.1. 1–58, 1980

    Google Scholar 

  6. Cohen, M. A., Kleindorfer, P. R., and Lee, H. L.: Near-Optimal Service Constrained Stocking Policies for Spare Parts, Oper. Res., Vol. 37, No. 1, 1989, 104–117

    MathSciNet  MATH  Google Scholar 

  7. Bartakke, M. N.: A Method of Spare Parts Inventory Planning, OMEGA, Vol. 9, 1981, 51–58

    Article  Google Scholar 

  8. Cohen, M. A., Kleindorfer, P. R., and Lee, H. L.: Optimal Stocking Policies for Low-Usage Items Multi-Echelon Inventory Systems, Nay. Res. Log. Quart., Vol. 33, 1986, 17–38

    Article  MathSciNet  MATH  Google Scholar 

  9. Schaeffer, M.: Inventory for Low-Demand Rate Reparable Items, Mgmt. Sci., Vol. 29, 1983, 1062–1068

    Google Scholar 

  10. Hadley, G. and Whitin, T. M.: Analysis of Inventory Systems, Prentice Hall, Englewood Cliffs, N. J., 1963

    Google Scholar 

  11. Dushessi, P., Tayi, G. K., and Levy, J. B.: A Conceptual Approach for Managing of Spare Parts, Int. J. Phys. Distr. and Mater. Mgmt., Vol. 18, No. 5, 1988, 8–15

    Google Scholar 

  12. Petrovic, R., Senborn, A., and Vujosevic, M.: A New Adaptive Algorithm for Determination of Stocks in Spare Parts Inventory Systems, Eng. Costs and Prod. Econ., Vol. 15, 1989, 405–410

    Article  Google Scholar 

  13. Cohen, M., Kamesan, P. V., and Kleindorfer, P. L.: Optimizer—IBM’s Multiechelon Inventory System for Managing Service Logistics, Interfaces, Vol. 20, No. 1, 1990, 65–82

    Article  Google Scholar 

  14. Kostic, S. and Pendic, Z.: Optimization of Spare Parts in a Multilevel Maintenance System, Eng. Costs and Prod. Econ., Vol. 20, No. 1, 1990, 93–99

    Article  Google Scholar 

VII.12 Verschnittoptimierung

  1. Hinxman, A. I.: The Trim Loss Assortment Problems—A Survey, Eur. J. of Oper. Res., Vol. 5, No. 1, 1980, 8–18

    Article  MathSciNet  MATH  Google Scholar 

  2. Farley, A.: Trim Loss Pattern Rearrangement and its Relevance to the Flat-Glass Industry, Eur. J. Oper. Res., Vol. 14, No. 4, 1983

    Google Scholar 

  3. Farley, A.: Note on Modifying a Two-Dimensional Trim-Loss Algorithm to Deal with Cutting Restrictions, Eur. J. Oper. Res., Vol. 14, No. 4, 1983

    Google Scholar 

  4. Heim, W.: Eine Näherungslösung für ein spezielles zweidimensionales Verschnittproblem, Ablauf-und Planungsforschung, Vol. 12, Heft 1, 1971

    Google Scholar 

  5. Gilmore, P. C. and Gomory, R. E.: A Linear Programming Approach to the Cutting Stock Problem—Part I, Oper. Res., Vol. 9, 1961

    Google Scholar 

  6. Gilmore, P. C. and Gomory, R. E.: A Linear Programming Approach to the Cutting Stock Problem—Part II, Oper. Res., Vol. 11, 1963

    Google Scholar 

  7. Gilmore, P. C. and Gomory, R. E.: Multi-Stage Cutting Stock Problems of Two and More Dimensions, Oper. Res., Vol. 13, 1965

    Google Scholar 

  8. Gilmore, P. C. and Gomory, R. E.: The Theory and Computation of Knapsack Functions, Oper. Res., Vol. 14, No. 6, 1966

    Google Scholar 

  9. Kortanek, K. and Sodaro, D.: A Generatized Network Model for Three-Dimensional Cutting Stock Problems and New Problems and New Product Analysis, The Journal of Ind. Eng., Nov. 1966, 572–576

    Google Scholar 

  10. Riemer, W. et al.: On-Line-Optimierung für den Zuschnitt in der Textil-und Bekleidungsindustrie (TRIGEMA, Burladingen), IBM Nachrichten, Vol. 27, Heft 237, 1977

    Google Scholar 

  11. Hahn, S. G.: On the Optimal Cutting of Defective Glass Sheets, Oper. Res., Vol. 16, 1968, 1100–1114

    Google Scholar 

  12. Beasley, J. E.: Algorithms for Unconstrained Two-Dimensional Guillotine Cutting, J. of the Oper. Res. Soc., Vol. 36, No. 4, 1985, 297–306

    MathSciNet  MATH  Google Scholar 

  13. Herz, J. C.: A Recursive Computing Procedure for Two-Dimensional Cutting Stock, IBM J. of Res. and Dev., Vol. 16, 1972, 462–469

    Article  MathSciNet  MATH  Google Scholar 

  14. Christofides, N. and Whitlock, C.: An Algorithm for Two-Dimensional Cutting Problems, Oper. Res., Vol. 25, No. 1, 1977, 30–44

    MATH  Google Scholar 

  15. Abel, D., Dyskhoff, H., Gal, T., and Kruse, H. J.: Trim Loss and Related Problems, OMEGA, Vol. 13, 1985, 59–72

    Article  Google Scholar 

  16. Wang, P. Y.: Two Algorithms for Constrained Two-Dimensional Cutting Stock Problems, Oper. Res., Vol. 31, 1983, 573–586

    MATH  Google Scholar 

  17. Adamowicz, M. and Albano, A.: A Solution of the Rectangular Cutting Stock Problem, IEEE Trans. Syst. Man Cybern., SMC-6, No. 4, 1976, 302–310

    Google Scholar 

  18. Sumichrast, R. T.: New Cutting-Stock Heuristics for Scheduling Production, Comput. Oper. Res., Vol. 13, No. 4, 1986, 403–410

    Article  Google Scholar 

  19. Eisemann, K.: The Trim Problem, Mgmt. Sci., Vol. 3, 1957, 279–284

    MathSciNet  MATH  Google Scholar 

  20. Art, R. C. Jr.: An Approach to the Two-dimensional Irregular Cutting Stock Problem, IBM Cambridge Scientific Center, Report 36. Y08, Cambridge, Massachusetts, 1966

    Google Scholar 

  21. Waescher, G., Carow, P. und Müller, H.: Ein flexibles Lösungsverf. für Zuscheneideprobleme in einem Kaltwazwerk, in VIII.1. 1–57, 1985

    Google Scholar 

  22. Madsen, O. B. G.: Application of Travelling-Salesman Routines to Solve Pattern-Allocation Problems in the Glass Industry, J. Oper. Res. Soc., Vol. 39, No. 3, 1988, 249–256

    MATH  Google Scholar 

  23. Wolfson, M. L.: Selecting Best Lengths to Stock, Oper. Res., Vol. 13, No. 4, 1965, 570–585

    Google Scholar 

  24. Wig, M. K.: Diophantine Programming and the Stock Cutting Problem, Ph.D. Thesis, North Carolina State Univ., Raleigh, N. C., 1970

    Google Scholar 

  25. Elmaghraby, S. E. and Wig. M. K.: On the Treatment of Stock Cutting Problems as Diophantine Programs, North Carolina State Univ. and Corning Glass Res. Center, Report No. 61, May 11, 1970

    Google Scholar 

  26. Reith,P. F.: The Trimproblem, IBM Report, Amsterdam, 1962

    Google Scholar 

  27. Farley, A. A.: Mathematical Programming Models for Cutting Stock Problems in the Clothing Industry, J. Oper. Res., Vol. 39, No. 1, 1988, 41–53

    Google Scholar 

  28. Vasko, F. J., Wolf, F. E., and Stott, K. L.: Practical Solution to a Fuzzy Two-Dimensional Cutting-Stock Problem, Fuzzy Sets and Systems, Vol. 29, No. 3, 1989, 259–275

    Article  MathSciNet  Google Scholar 

  29. Dowsland, K. A.: Two-Dimensional Rectangular Packing, M.Sc. Thesis, Department of Mgmt. Sci., Univ. of Wales, Swansea, 1982

    Google Scholar 

  30. Albano, A. and Orsini, R.: A Heuristic Solution of the Rectangular Cutting Stock Problem, Comput. J., Vol. 23, No. 4, 1980

    Google Scholar 

  31. Beasley, J. E.: Bounds for Two-Dimensional Cutting, J. Oper. Res. Soc., Vol. 36, No. 1, 1985, 71–74

    MATH  Google Scholar 

  32. Chambers, M. L. and Dyson, R. G.: The Cutting Stock Problem in the Flat Glass Industry—Selection of Stock Sizes, Oper. Res. Quart., Vol. 27, No. 4, 1976, 949–957

    Google Scholar 

  33. Diegel, A. and Bocker, H. J.: Optimal Dimensions of Virgin Stock in Cutting Glass to Order, Dec. Sci., Vol. 15, No. 2, 1984, 260–274

    Google Scholar 

  34. Israni, S. and Sanders, J.: Two-Dimensional Cutting Stock Problem Research—A Review and a New Rectangular Layout Algorithm, J. Manuf. Systems, Vol. 1, No. 2, 1982

    Google Scholar 

  35. Smithin, T. and Harrison, P.: The Third Dimension of Two-Dimensional Cutting, OMEGA, Vol. 10, No. 1, 1982, 81–87

    Article  Google Scholar 

  36. Biro, M. and Boros, E.: Network Flows and Non-Guillotine Cutting Patterns, Europ, J. Oper. Res., Vol. 16, 1984, 215–221

    Article  MathSciNet  MATH  Google Scholar 

  37. Maak, H.: Zweidimensionales Verschnittproblem, IBM Form No. 9.7.804, Sindelfingen, 1963

    Google Scholar 

  38. Goetz, H., Littger, K. und Zur Steege, R.: TRIM—Ein Verfahren zur Lösung des zweidimensionalen Verschnittproblems und sein Einsatz bei der Flachglas AG DELOG—DETAG, Wernberg/Obpf., Sonderdruck der IBM Nachrichten, 1972

    Google Scholar 

  39. Pierce, J. F.: On the Solution of Integer Cutting Stock Problems by Combinatorial Programming, IBM Cambridge Scientific Center, Technical Report 36Y02, May 1966

    Google Scholar 

  40. Daniels, J. J. and Ghandforoush, P.: An Improved Algorithm for the Non-Guillotin Constrained Cutting Stock Problem, J. Oper. Res. Soc., Vol. 41, No. 2, 1990, 141–149

    MATH  Google Scholar 

  41. Vasko, F. J.: A Computational Improvement to Wang’s Two Dimensional Cutting Stock Algorithm, Computers and Industrial Engineering, Vol. 16, No. 1, 1989, 109–115

    Article  MathSciNet  Google Scholar 

  42. Dagli, C. H.: Knowledge Based System for Cutting Stock Problems, Eur. J. Oper. Res., Vol. 44, No. 2, 1990, 160–166

    Article  MATH  Google Scholar 

VII.13 Energieversorgungsunternehmen

  1. Steinbauer, E., Muschick, A., Sillaber, A., Harhammer, P., Strobl, H. und Haschka, H.: Kraftwerkseinsatzoptimierung, Oesterr. Zeitschrift für Elektrizitätswirtschaft, Jg. 38, Heft I, Januar 1985

    Google Scholar 

  2. Dakin, R. J.: Application of Mathematical Programming Techniques to Cost Optimization in Power-Generating Systems, Techn. Report 19, Basser Computing Dept., School of Physiscs, Univ. of Sydney, 1961

    Google Scholar 

  3. Edelmann, H. und Theilsiefje, K.: Optimaler Verbundbetrieb in der elektrischen Energieversorgung, Springer, Berlin, 1974

    Book  Google Scholar 

  4. Arnoff, E. L. and Chambers, J. C.: On the Determination of Optimum Reserve Generation Capacity in an Electric Utility System, Oper. Res., Vol. 4, No. 4, 1956

    Google Scholar 

  5. Rohde, F. G. and Zoller, E. Ch.: Mixed-Integer LP-Model for Electric Power System Planning, in Proceedings of the Intern. Conf. on Systems Modelling in Develop. Countries, Asian Institute of Technology, Bangkok, May 1978, 571–587

    Google Scholar 

  6. Garver, L. L.: Power Scheduling by Integer Programming, IEEE Trans. Power Apparatus and Systems, Vol. 81, 1963, 730–735

    Google Scholar 

  7. Fanshel, S. and Lynes, E. S.: Economic Power Generation Using Linear Programming, IEEE Trans. Power App. Syst., Vol. 83, 1964, 347–356

    Article  Google Scholar 

  8. Van den Bosch, P. P. J., and Lootsma, F. A.: Scheduling of Power Generation Via Large-Scale Nonlinear Optimization, J. Optim. Theory Appl., Vol. 55, No. 2, 1987, 313–326

    Article  MathSciNet  MATH  Google Scholar 

  9. Steinbauer, E.: Suche nach optimalen Lösungen in der Energiewirtschaft gestern, heute und für morgen, Oesterreichische Zeitschrift für Elektrizitätswirtschaft, Heft 2, 1981, 32–42

    Google Scholar 

  10. Harhammer, P. G.: Wisrtschaftliche Lastaufteilung auf Basis der gemischt ganzzahligen Planungsrechnung, Oesterreichische Zeitschr. für Elektrizitätswirtschaft, Heft 3, 1976, 87–94

    Google Scholar 

  11. Habibollazadeh, H.: Optimal Short-Term Operation Planning of Hydroelectric Power Systems, Research Report of the Royal Insitute of Technology, Stockholm, 1983

    Google Scholar 

  12. Tomlin, J. A.: Special Ordered Sets and an Application to Gas Supply Operations, Math. Progr., Vol. 42, No. 1, 1988, 69–84

    Article  MathSciNet  Google Scholar 

  13. Ramakrishnan, H. V.: Large Scale Energy System Planning Using Quadratic Programming, J. Inst. Eng. India, Part EL, Vol. 68, No. 5, 1988, 170–176

    MathSciNet  Google Scholar 

  14. Bergsman, J.: Electrical Power Systems Planning Using Linear Programming, IEEE Transactions, Vol. MIL-8, No. 2, 1964, 59

    Article  Google Scholar 

  15. Dessiere, F.: The Investment 85 Model of Electricite de France, Mgmt. Sci., Vol. 17, No. 4, 1970, 192

    Google Scholar 

  16. Masse, P. and Gibrat, R.: Application of Linear Programming to Investments in Electric Power Ind., Mgmt. Sci., Vol. 3, 1957, 149

    Google Scholar 

  17. Turvey, R.: Optimal Pricing and Investment in Electricity Supply, MIT Press, Cambridge, Massachusetts, 1968

    Google Scholar 

  18. EI-Abiad, A. H.: Power Systems Analysis and Planning, McGraw-Hill, New York, 1983

    Google Scholar 

  19. Carpentier, J.: Optimal Power Flows, Int. J. of Electrical Power and Energy Systems, Vol. 1, 1979, 3–15

    Article  Google Scholar 

  20. Freris, L. L. and Sasson, A. M.: Investigation of the Load Flow Problem, Proceedings of the IEEE, No. 115, 1968, 1459–1470

    Google Scholar 

  21. Rashed, A. M. H. and Kelly, D. H.: Optimal Load Flow Solution Using Lagrangian Multipliers and the Hessian Matrix, IEEE Trans. on Power App. and Systems, PAS-93, 1974, 1292–1297

    Google Scholar 

  22. Terasawa, Y. and Iwamoto, S.: Optimal Power Flow Solution Using. Fuzzy Mathematical Programming, Electrical Eng. in Japan, Vol. 108, No. 3, 1988, 46–54.

    Article  Google Scholar 

  23. Dahr, S. B.: Power System Long-Range Decision Analysis under Fuzzy Environment, IEEE Trans. Power App. Syst., Vol. PAS-98, 1979, 585

    Google Scholar 

  24. Economakos, E.: Application of Fuzzy Concepts to Power Demand Forecasting, IEEE Trans. Syst. Man Cybern., Vol. SMC-9, 1979, 651

    Google Scholar 

  25. Evans, G. W., Morin, T. L., and Moskowitz, H.: Multiobjective Energy Generation Planning under Uncertainty, IIE Trans., Vol. 14, 1982, 183–192

    Article  Google Scholar 

  26. Anderson, D.: Models for Determining Least Cost Investments in Electricity Supply, Bell J. Econom. and Mgmt. Sci., Vol. 3, 1972, 267–299

    Article  Google Scholar 

  27. Santos, A. Jr., Franca, P. M., and Said, A.: An Optimization Model for Long-Range Transmission Expansion Planning, IEEE Trans. on Power Systems, Vol. 4, No. 1, 1989

    Google Scholar 

  28. Biggs, M. C. and Laughton, M. A.: Optimal Electric Power Scheduling—A Large Nonlinear Programming, Test Problem Solved By Recursive Quadratic Programming, Math. Progr., Vol. 13, 1977, 167–182

    Article  MathSciNet  MATH  Google Scholar 

  29. Rosenthal, R. E.: A Nonlinear Network Flow Algorithm for Maximization of Benefits in a Hydroelectric Power System, Oper. Res., Vol. 29, No. 4, 1981, 763–786.

    MathSciNet  MATH  Google Scholar 

  30. Wood, A. J. (Ed.): Application of Optimization Methods in Power System Engineering, IEEE, New York, 1976

    Google Scholar 

  31. Merrill, H. M.: Power Plant Maintenance Scheduling with Integer Programming, in VII. 13–31, 1976, 44–50

    Google Scholar 

  32. Biggs, M. C.: An Approach to the Optimal Scheduling of an Electrical Power System, in VIII.1. 1–109, 1974, 364–380

    Google Scholar 

  33. Escudero, L. F.: On Energy Generators Maintenance and Operations Scheduling, IBM Scientific Center, Palo Alto, 1980

    Google Scholar 

  34. Werbos, P. J.: Maximizing Long-Term Gas Industry Profits in Two Minutes in Lotus Using Neural Network Methods, IEEE Trans. Syst. Man. Cyber., Vol. 19, No. 2, 1989, 315–333

    Article  Google Scholar 

  35. Friedlander, A., Lyra, C., Tavares, H. and Medina, E. L.: Optimization with Staircase Structure—An Application to Generation Scheduling, Comp. and Oper. Res. Vol. 17, No. 2, 1990, 143–152

    MathSciNet  MATH  Google Scholar 

  36. Friedlander, A.: Optimization with Staircase Structure in the Constraints (in Portugese), Doctoral Diss., Faculty of Engineering of the State Univ. of Campinas, Brasil, 1986

    Google Scholar 

  37. Kok, M.: Conflict Analysis Via Multiple Objective Programming with Experiences in Energy Planning, Thesis, Delft Univ. of Technology, Netherlands, 1986

    Google Scholar 

  38. Nabona, N.: Long-Term Hydro-Thermal Coordination of Electr. Generation through Multicommodity Network Flows, in VIII.1. 1–148, 1989

    Google Scholar 

  39. Batut, J., Renaud, A., and Sandrin, P.: Daily Scheduling Optimization for Power Generation Units, E. D. F. Bulletin de la Dir. des Etudes et Rech., 1990, No. 2, 13–24

    Google Scholar 

VII.14 Personalplanung

  1. Holloran, T. J. and Byrn, J. E.: United Airlines Station Manpower Planning System, Interfaces, Vol. 16, No. 1, 1986

    Google Scholar 

  2. Rubin, J.: Manpower Scheduling Model, IBM Cambridge Scientific Center, Report No. G320–2104, 1975

    Google Scholar 

  3. Gaballa, A. and Pearce, W.: Telephone Sales Manpower Planning at Quantas, Interfaces, Vol. 9, No. 3, 1979

    Google Scholar 

  4. Jarr, K.: Simultane Produktions-und Personalplanung, Zeitschrift für Betriebswirtschaft, Vol. 44, No. 10, 1974, 685–702

    Google Scholar 

  5. Grinold, R. C.: Manpower Planning with Uncertain Requirements, Operations Research, Vol. 24, No. 3, 1976, 387–399

    Article  MathSciNet  MATH  Google Scholar 

  6. Alan, A., Pritsker, B., Wafters, L. J. and Wolfe, P. M.: Multiproject Scheduling with Limited Resources, A Zero-One Programming Approach, Mgmt. Sci., Vol. 16, No. 1, 1969, 93–108

    Google Scholar 

  7. Mize, J. H.: A Heuristic Scheduling Model for Multi-Project Organizations, Ph.D. Thesis, Purdue Univ., 1964

    Google Scholar 

  8. Wiest, J. D.: Some Properties of Schedules for Large Projects with Limited Resources, Operations Research, Vol. 12, 1964, 395–418

    Article  Google Scholar 

  9. Wiest, J. D.: A Heuristic Model for Scheduling Large Projects with Limited Resources, Mgmt. Sci., Vol. 13, No. 6, 1967, 359–377

    Google Scholar 

  10. Arabeyre, J. P., Feanley, J., Steiger, F. C. and Teather, W.: The Airline Scheduling Problem-A Survey, Trans. Sci., Vol. 3, 1969, 140–163

    Google Scholar 

  11. Cavanagh, R. A.: Airline Crew Scheduling, Presented at XII TIMS International Meeting, Kyoto, Japan, July 1975

    Google Scholar 

  12. Nicoletti, B.: Autom. Crew Rostering, Trans, Sci., Vol. 9, 1975, 33

    Google Scholar 

  13. Doenni, B.: Verfahren für optimale Personalzuordnung, Industrielle Organisation, Vol. 34, No. 6, 1965, 311–331

    Google Scholar 

  14. Doenni, B.: optimale Personalzuordnung, industrielle Organisation, Vol. 34, No. 8, 1965, 460–473

    Google Scholar 

  15. Dwyer, P. S.: Solution of the Personal Classification Problem with the Method of Optimal Regions, Psychometrika, Vol. 18, No. 1, 1954

    Google Scholar 

  16. Weber, W. L.: Manpower Planning in Hierarchical Organizations—A Computer Simulation Approach, Mgmt. Sci., Ser. A, Vol. 18, No. 3, 1971, 119–144

    Google Scholar 

  17. Votaw, D. F. Jr.: Methods of Solving Personnel Classification Problems, Psychometrica, Vol. 17, 1952, 255–266

    Article  MATH  Google Scholar 

  18. Votaw, D. F. Jr.: Personnel Assignment Problem, in VIII.1. 2–45, 1952

    Google Scholar 

  19. Van der Bij, H.: Manpower Planning Activities on Mangement Control Level, in VIII.1. 1–57, 1985

    Google Scholar 

  20. Soehngen, L.: Modellgesteuerte Bedarfsplanung, Einsatzsteuerung und Kontrolle von Personal bei variabler Arbeitsmenge, in VIII.1. 1–57, 1985, 219–222

    Google Scholar 

  21. Vajda, S.: Mathematical Aspects of Manpower Planning, Oper. Res. Quart., Vol. 26, 1975, 527–542

    MATH  Google Scholar 

  22. Price, W. L. and Piskor, W. G.: The Application of Goal Programming to Manpower Planning, Information, Vol. 10, 1972, 221–231

    Google Scholar 

  23. Lilien, G. L. and Rao, A. G.: A Model for Manpower Management, Management Science, Vol. 21, 1975, 1447–1457

    Article  Google Scholar 

  24. Charnes, A., Cooper, W. W., Niehaus, R. J., and Scholtz, D.: A Model and a Program for Manpower Management and Planning, Graduate School of Ind. Admin., Reprint No. 383, Carnegie Mellon Univ., 1975

    Google Scholar 

  25. Davies, G. S.: Structural Control in a Graded Manpower System, Management Science, Vol. 20, 1973, 76–84

    Article  MathSciNet  MATH  Google Scholar 

  26. Verhoeven, C. J.: Techniques for Corporate Manpower Planning, Kluwer Nijhoff Publ., 1982

    Google Scholar 

  27. Smith, A. R. and Bartolomew, D. J.: Manpower Planning in the United Kingdom—A Historical Review, J. Oper. Res. Soc., Vol. 39, No. 3, 1988, 235–248

    Google Scholar 

  28. Venema, M. and Wessels, J.: Systematic Modelling and Model Handling for Manpower Systems, Vol. 4, No. 4, 1988

    Google Scholar 

  29. Glover, F. and Mc Millan, C.: The General Employee Scheduling Problem—An Integration of MS and AI, Comput. Oper. Res., Vol. 13, 1986, 563–573

    Article  Google Scholar 

  30. Lawrence, J.: Manpower and Personal Models in Britain, Personn. Rev., Vol. 2, No. 3, 1973, 4–27

    Google Scholar 

  31. Martel, A. and Al-Nuaimi, A.: Tactical Manpower Planning Via Progr. under Uncertainty, Oper. Res. Quart., Vol. 24, 1973, 571–585

    MATH  Google Scholar 

  32. Drumm, H. J.: Zur Akzeptanz formaler Personalplanungsmethoden-Ergebnisse einer empirischen Untersuchung, in VIII.1. 1–56, 1979

    Google Scholar 

  33. Bergold, V.: Personalplanung im Vertriebsbereich mit ganzzahliger linearer Optimierung, in VIII.1. 1–146, 1974

    Google Scholar 

VII.15 Investitions-und Finanzplanung

  1. Wilson, R.: Investment Analysis under Uncertainty, Management Science, Vol. 15, No. 12, 1969, 650–664

    Article  Google Scholar 

  2. Peters, L.: Simultane Produktions-und Investitionsplanung mit Hilfe der Portfolio Selection, Duncker and Humblot, 1971

    Google Scholar 

  3. Jacob, H.: Neuere Entwicklungen in der Investitionsrechnung, Zeitschrift für Betriebswirtschaft, Vol. 34, No. 8 und 9, 1964, 487–507 und 551–594

    Google Scholar 

  4. Zimmermann, W.: Flexible Investitionsplanung mit ganzzahliger lin. Progr., Ablauf und Planungsforschung, Vol. 8, No. 4, 1967, 408–412

    Google Scholar 

  5. Hax, H.: Investitions-und Finanzplanung mit Hilfe der linearen Progr., Zeitschr. für betriebsw. Forschung, Vol. 16, 1964, 430–446

    Google Scholar 

  6. Albach, H.: Linear Programming als Hilfsmittel betrieblicher Investitionsplanung, Zeitschr. für handelswirtsch. Forschung, Vol. 12, 1960, 526–549

    Google Scholar 

  7. Witten, P. und Zimmermann, H.-G.: Zur Eindeutigkeit des interenen Zinsfußes und seiner Bestimmung, Zeitschr. für Betriebswirtschaft, Vol. 47, 1977, 99–114

    Google Scholar 

  8. Teichroew, D., Robichek, A., and Montalbano, M.: Mathematical Analysis of Rates of Return under Certainty, Mgmt. Sci., Ser. A, Vol. II, 1965, 395–400

    Google Scholar 

  9. Pazner, E. A. and Razin, A.: A Model of Investment under Interest Rate Uncertainty, Intern. Economic Review, Vol. 15, 1974, 798–802

    MathSciNet  MATH  Google Scholar 

  10. Hirshleifer, J.: Investment, Interest and Capital, Prentice-Hall, Englewood Cliffs, N. J., 1970

    Google Scholar 

  11. Bitz, M.: Present Value and Future Value under Uncertainty in the Cost of Capital, Zeitschr. für Oper. Res., Vol. 22, 1978, 25–31

    MathSciNet  MATH  Google Scholar 

  12. Albach, H.: Investition und Liquidität, Wiebaden, 1962

    Google Scholar 

  13. Albach, H.: Risikomanagement und optimales Investitionsbudget, in VIII.1. 1–58, 1980

    Google Scholar 

  14. Albach, H.: Wirtschaftlichkeitsrechung bei unsicheren Erwartungen, Westdeutschr Verlag, Köln-Opladen, 1959

    Google Scholar 

  15. Eitschberger, B. H.: Investitionsplanung in einem dialoggestützten LP-Modellgenerator, in VIII.1. 1–57, 119

    Google Scholar 

  16. Hanuscheck, R.: Flexible Investitionsplanung mit Fuzzy-Zahlungsreireihen, in VIII.1. 1–57, 1985, 120–127

    Google Scholar 

  17. Albach, H. (Ed.): Investitionstheorie, Kiepenheuer and Witsch, Köln, 1975

    Google Scholar 

  18. Wolf, J.: Lineare Fuzzy-Investitionsmodelle. Die Formulierung und Lösung realitätskonformer Investitionsmodelle durch Verwendung unscharfer Mengen, Diplomarbeit, Fachbereich Wirtschaftswissenschaft, Universität Frankfurt a.M., 1983

    Google Scholar 

  19. Ashford, R. W., Berry, R. H., and Dyson, R. G.: Oper. Res. and Financial Management, Eur. J. Oper. Res., Vol. 36, No. 2, 1988, 143–152

    Article  Google Scholar 

  20. Nauss, R. M.: On the Use of Internal Rate of Return in Linear and Integer Progr., Oper. Res. Letters, Vol. 7, No. 6, 1988, 285–289

    MathSciNet  MATH  Google Scholar 

  21. Naeslund, B. and Whinston, A.: A Model of Multi-Period Investment under Uncertainty, Mgmt. Sci., Vol. 8, No. 2, 1962

    Google Scholar 

  22. Wiengartner, H. M.: Criteria for Programming Investment Project Selection, J. Ind. Econ., 1966, 65–76

    Google Scholar 

  23. Naylor, T. and Mann, M. (Ed.): Portfolio Planning and Corporate Strategy, Planning Executives Institute, Oxford, 1983

    Google Scholar 

  24. Weingartner, H. M.: Mathematical Programming and the Analysis of Capital Budgeting, Prentice-Hall, Englewood-Cliffs, N. J., 1963

    Google Scholar 

  25. Weingartner, H. M.: Capital Budgeting of Interrelated Projects, Survey and Synthesis, Mgmt. Sci., Vol. 12, No. 7, 1966, 485–516

    Google Scholar 

  26. Langhhunn, D. J.: Quadratic Binary Programming with Application to Capital Budgeting Problems, J. of the Oper. Res. Soc. of America, Vol. 18, 1970, 454–461

    Google Scholar 

  27. Weingartner, H. M.: Some New Views on the Payback Period and Capital Budgeting Decisions, Mgmt. Sci., Vol. 15, No. 12, 1969, 595–607

    Google Scholar 

  28. Markowitz, H. M.: Porfolio Selection—Efficient Diversification of Investments, Wiley, New York, 1959

    Google Scholar 

  29. Markowitz, H. M.: Porfolio Selection, J. of Finance, Vol. 7, 1952

    Google Scholar 

  30. Sharpe, W. F.: A Simplified Model for Portfolio Analysis, Management Science, Vol. 9, No. 2, 1963

    Google Scholar 

  31. Sharpe, W. F.: A Linear Programming Algorithm for Mutual Fund Portfolio Selection, Mgmt. Sci., Vol. 13, 1967

    Google Scholar 

  32. Hanssmann, F.: Operations Research Techniques for Capital Investment, Wiley, New York, 1970

    Google Scholar 

  33. Kuellmer, H.: Bankbetriebliche Programmplanung unter Unsicherheit, Gabler, Wiesbaden, 1975

    Google Scholar 

  34. Sharpe, W. E.: A Linear Programming Approach for the General Portfolio Selection Problem, J. Financial Quant. Anal., Vol. 6, 1971, 1263–1276

    Article  Google Scholar 

  35. Elton, E. J., Gruber, M. J., and Padberg, M. W.: Simple Criteria for Optimal Portfolio Selection, J. Finance, Vol. 31, 1976, 1341–1357

    Google Scholar 

  36. Maier, S. F. and Van der Weide, J. H.: Capital Budgeting in the Decentralized Firm, Mgmt. Sci., Vol. 23, 1976, 433–443

    MATH  Google Scholar 

  37. Laux, H.: Flexible Planung des Kapitalbudgets mit Hilfe der Linearen Programmierung, in VII. 15–17, 1975, 411–426

    Google Scholar 

  38. Ashford, R. W., Berry, R. H., and Dyson, R. G.: Oper. Res. and Financial Management, Eur. J. Oper. Res., Vol. 36, No. 2, 1988, 143–152

    Article  Google Scholar 

  39. Salkin, G. and Kornbluth, J.: Linear Programming in Financial Planning and Accounting, Haymarket Publishing, London, 1973

    Google Scholar 

  40. Srinivason, V.: A Transshipment Model for Cash Management Decisions, Mgmt. Sci., Vol. 20, 1974, 1350–1363

    Google Scholar 

  41. Speidell, L. S., Miller, D. H., and Ullman, J. R.: Portfolio Optimization—A Primer, Financial Analysis J., Vol. 45, No. 1, 1989, 22–30

    Article  Google Scholar 

  42. Pang, J. S.: A New and Efficient Algorithm for a Class of Portfolio Selection Problems, Operations Research, Vol. 28, 1980, 754–767

    Article  MathSciNet  MATH  Google Scholar 

  43. Elton, E. J. and Gruber, M. J.: Modern Portfolio Theory and Investment Analysis, Wiley, New York, 1981

    Google Scholar 

  44. Szego, G. P.: Portfolio Theory, Academic Press, New York, 1980

    Google Scholar 

  45. Rosenblatt, M. J.: Generating the Discrete Efficient Frontier to the Capital Budgeting Problem, Oper. Res., Vol. 37, No. 3, 1989, 384–394

    MATH  Google Scholar 

  46. Perold, A. F.: Large Scale Portfolio Optimization, Management Science, Vol. 30, 1984, 1143–1160

    Article  MathSciNet  MATH  Google Scholar 

  47. Rudd, A. and Rosenberg, B.: Realistic Portfolio Optimization, TIMS Studies Mgmt. Science, Vol. 11, 1979, 21–46

    Google Scholar 

  48. Soewen, L. A.: Foreign Exchange Exposure Management—A Portfolio Approach, Sijthoff and Noordhoff, The Netherlands, 1979

    Google Scholar 

  49. Sharpe, W. F.: Portfolio Theory and Capital Markets, Mc Graw-Hill, New York, 1970

    Google Scholar 

  50. Mao, J. C.: Quantitative Analysis of Financial Decisions, Macmillan, New York, 1969

    Google Scholar 

  51. Brealey, R. and Myers, S.: Principles of Corporate Finance, McGraw-Hill, New York, 1981

    Google Scholar 

  52. Baum, S., Carlson, R. C., and Jucker, J. V.: Some Problems in Applying the Continuous Portfolio Selection Model to the Discrete Capital Budget Problem, J. Finan. Quant. Anal., 1978, 333–344

    Google Scholar 

  53. Rosenblatt, M. J. and Sinuany-Stern, Z.: Generating the Discrete Efficient Frontier to the Capital Budgeting Problem, Oper. Res., Vol. 37, No. 3, 1989, 384–394

    MATH  Google Scholar 

  54. Mulvey, J. M.: Nonlinear Network Models in Finance, Adv. Math. Progr. Finan. Plann., 1987, 253–271

    Google Scholar 

  55. Teichroew, D., Robichek, a. and Montalbano, M.: Analyse der Kriterien der Investitions-und Finanzplanung bei Sicherheit, in VII. 15–17, 1975, 92–121

    Google Scholar 

  56. Weingartner, M. H.: Investitionsrechnung für voneinander abhängige Projekte, in VII. 15–17, 1975, 326–357

    Google Scholar 

  57. Morita, H., Ishii, H., and Nishida, T.: Stochastic Linear Knapsack Programming Problem and its Application to a Portfolio Selection Problem, Eur. J. Oper. Res., Vol. 40, No. 3, 1989, 329–336

    Article  MathSciNet  MATH  Google Scholar 

  58. Hirshleifer, J.: On the Theory of Optimal Investment Decisions, J. of Political Economy, Vol. 66, No. 4, 1958, 329–352

    Article  Google Scholar 

  59. Hayes, J. W.: Dual Variables in Pure Capital Rationing Linear Programming Formulations, Eng. Econ., Vol. 34, No. 3, 1989, 255–260

    Article  Google Scholar 

  60. Hayes, J. W.: Discount Rates in Linear Pogramming Formulations of the Capital Budgeting Problem, Eng. Econ., Vol. 29, No. 2, 1984, 113–126

    Article  Google Scholar 

  61. Baumol, W. J. and Quandt, R. E.: Investment and Discount Rates Under Capital Budgeting—A Programming Approach, Economic J., Vol. 75, No. 298, 1965, 317–329

    Article  Google Scholar 

  62. Jean, W. H.: Interest Rate-Independent Present Value Rankings, Eng. Econ., Vol. 34, No. 2, 1989, 129–148

    Article  Google Scholar 

  63. Jean, W. H.: On Multiple Rates of Return, J. of Finance, Vol. 23, 1968, 187–191

    Google Scholar 

  64. Hertz, D. B.: Risk Analysis in Capital Investment, Harvard Business Reviews, Vol. 42, No. 1, 1964, 95–106

    Google Scholar 

  65. Ziemba, W. T. and Vickson, R. G. (Eds.): Stochastic Optimization Models in Finance, Academic Press, New York, 1975

    MATH  Google Scholar 

  66. Khaksari, S., Kamath, R., and Grieves, R.: A New Approach to Determining Optimum Portfolio Mix, J. of Portfolio Management., Vol. 15, No. 3, 1989, 43–49

    Article  Google Scholar 

  67. Michaud, R. O.: The Markowitz Optimization Enigma—Is “Optimized” Optimal?, Financial Analysis J., Vol. 45, No. 1, 1989, 31–42

    Article  Google Scholar 

  68. Booth, G. G. et al.: Managing Interest-Rate Risk in Banking Institutions, Eur. J. Oper. Res., Vol. 41, No. 3, 1989, 302–313

    Article  Google Scholar 

VII.16 Optimierung technischer Produkte

  1. Maier, G.: Mathematical Programming Applications to Structural Mechanics—Some Introductory Thoughts, Eng. Struct., Vol. 6, No. 1, Jan. 1984

    Google Scholar 

  2. Ahlers, H., Schwartz, B. und Waldmann, J.: Optimierung technischer Produkte und Prozesse, VEB Verlag

    Google Scholar 

  3. Gallagher, R. H. and Zienkiewicz, O. C. (Editors): Optimum Structural Design, Wiley, New York, 1973

    MATH  Google Scholar 

  4. Spillers, W. R.: Iterative Design, North-Holland, Amsterdam und Oxford, 1975

    MATH  Google Scholar 

  5. Elpertin, T.: Monte Carlo Structural Optimization in Discrete Variables with Annealing Algorithm, Int. J. Numer. Meth. Eng., Vol. 26, No. 4, 1988, 815–821

    Article  Google Scholar 

  6. Lightner, H. R. and Director, S. W.: Multiple Criterion Optimization for the Design of Electronic Circuits, IEEF Trans. on Circuits and Systems, Vol. 28, 1981, 169–179

    Article  MathSciNet  Google Scholar 

  7. Ferris, M. C.: Linear Programming and Minimum Weight Structural Optimization Problems, Master of Philosophy Diss., Univ. of Cambridge, Churchill College, Cambridge, July 1985

    Google Scholar 

  8. Brown, C. B. and Yao, J. T. P.: Fuzzy Sets and Structural Engineering, J. of Structural Engineering, Vol. 109, No. 5, 1983

    Google Scholar 

  9. Levary, R. R. (Ed.): Engineering Design—Better Results Through Operations Research Methods, North-Holland, Amsterdam, 1988

    Google Scholar 

  10. Sandgren, E. and Ragsdell, K M.: On Some Experiments which Delimit the Utility of Nonlinear Programming Methods for Engineering Design, Math. Progr. Study, Vol. 16, 1982, 118–136

    Article  MathSciNet  MATH  Google Scholar 

  11. Wiebking, R. D.: Deterministic and Stochastic Geometric Programming Models for Optimal Engineering Design Problems in Electric Power Generation and Computer Solutions, Techn. Report TR73LS132, General Electric Company, Schenectady, NY, 1974

    Google Scholar 

  12. Buys, J. D. and Kröger, D. G.: Cost-Optimal Design of Dry Cooling Towers Through Mathematical Programming Techniques, J. Heat Transfer Trans. ASME, Vol. 111, No. 2, 1989, 322–327

    Article  Google Scholar 

  13. Adeli, H. and Chompooming, K.: Interactive Optimization of Nonprismatic Girders, Comp. and Struct., Vol. 31, No. 4, 1989, 505–522

    Article  Google Scholar 

  14. Douty, R. T.: Structural Design by Conversational Solution to the Nonlin. Progr. Problem, Comp. and Struct., Vol. 6, 1976, 325–331

    MATH  Google Scholar 

  15. Belegundu, A. D. and Arora, J. S.: A Study of Mathematical Programming Methods for Structural Optimization, Part II Numerical Results, Int. J. Num. Meth. Eng., Vol. 21, 1985, 1601–1623

    Article  MathSciNet  MATH  Google Scholar 

  16. Belegundu, A. D. and Arora, J. S.: A Study of Mathematical Programming Methods for Structural Optimization, Part I—Theory, Int. J.Num. Meth. Eng., Vol. 21, 1985, 1583–1599

    Article  MathSciNet  MATH  Google Scholar 

  17. Fox, R. L.: Optimization Methods for Engineering Design, Addison-Wesley, Reading, Mass., 1971

    Google Scholar 

  18. Vanderplaats, G. N.: Numerical Optimization Techniques for Engineering Design—With Applications, McGraw-Hill, New York, 1984

    MATH  Google Scholar 

  19. Diaz, A. R.: Fuzzy Set Applications in Engineering Optimization—Multilevel Fuzzy Optimization, Michigan State Univ., N89–25216/7/XAB, 1989

    Google Scholar 

  20. Haug, E. J. and Arora, J. S.: Applied Optimal Design—Mechanical and Strutural Systems, Wiley, New York, 1979

    Google Scholar 

  21. Kothawala, K. S. et al.: Shaping up—Optimization of Structural Designs, Mechnical Engineering, March 1988, 52–55

    Google Scholar 

  22. Esping, B. J. D.: The OASIS Structural Optimization System, Computers and Structures, Vol. 23, No. 3, 1986, 365–377

    Article  MathSciNet  Google Scholar 

  23. Vanderplaats, G. N. and Sugimoto, H.: A General Purpose Optimization Progr. for Eng. Design, Comp. and Struct., Vol. 24, No. 1, 1986, 13

    Article  MATH  Google Scholar 

  24. Gödel, H., Schneider, G., and Hörnlein, H.: Aeroelastic Considerations in the Preliminary Design of Aircraft, Advisory Group for Aerospace Research and Development (AGARD), Proceedings of the 56th Structure and Meeting, 1983

    Google Scholar 

  25. Osyczka, A.: Multicriteria Optimization in Engineering, Horwood, Chichester, U. K., 1984

    Google Scholar 

  26. Jarmai, K.: Design of Economic Steel Structures, Candidate of Sci. Diss., Miskolc, Hungary, 1988

    Google Scholar 

  27. Olsen, G. R. and Vanderplaats, G. N.: Method for Nonlinear Optimization with Discrete Design Variables, AIAA J., Vol. 27, No. 11, 1989, 1584–1589

    Article  Google Scholar 

  28. Haftka, R. T.: Integrated Nonlinear Structural Analysis and Design, AIAA J., Vol. 27, No. 11, 1989, 1622–1627

    Article  Google Scholar 

  29. Hedderich, C. P., Kelleher, M. D., and Vanderplaats, G. N.: Design and Optimization of Air-Cooled Heat Exchangers, ASME J. of Heat Transfer, Vol. 104, 1982, 683–690

    Article  Google Scholar 

  30. Banerjee, D. and Shanthakumaran, P.: Application of Numerical Optimization Methods in Helicopter Industry, Vertica, Vol. 13, No. 1, 1989, 17–42

    Google Scholar 

  31. Kumar, V., Lee, S.-J., and German, M. D.: Finite Element Design Sensitivity Analysis and its Integration with Numerical Optimization Techniques for Structural Design, Comput. Struct., Vol. 32, No. 3–4, 1989, 883–897

    MATH  Google Scholar 

  32. Patnaik, S. N.: Analytical Initial Design for Structural Optimization Via the Intergrated Force Method, Comp. and Struct., Vol. 33, No. 1, 1989, 265–268

    Article  MATH  Google Scholar 

  33. Vanderplaats, G. N.: Effective Use of Numerical Optimization in Structural Design, Finite Element Analysis and Design, Vol. 6, No. 1, 1989, 97–112

    Article  MATH  Google Scholar 

  34. Hansen, S. R. and Vanderplaats, G. N.: Approximation Method for Configuration Optimization of Trusses, AIAA J., Vol. 28, No. 1, 1990, 161–168

    Article  Google Scholar 

  35. Kirsch, U.: Optimization Structural Design, Mc Graw-Hill, New York, 1981

    Google Scholar 

  36. Kirsch, U. and Taye, S.: Structural Optimization in Design Planes, Comp. and Struct., Vol. 31, No. 6, 1989, 913–920

    Article  MATH  Google Scholar 

  37. Taye, S.: Approximation Concepts in Optimum Structural Design, Doctoral Thesis, Technion—Israel Institute of Technology, 1987

    Google Scholar 

  38. Atrek, E. et al. (Eds.).: New Directions in Optimum Structural Design, Wiley, New York, 1984

    Google Scholar 

  39. Kirsch, U.: Approximate Behaviour Models for Optimum Structural Design, in VII. 16–38, 1984

    Google Scholar 

  40. Olsen, G. R.: Nonlinear Optimization with Discrete Design Variables, M. S. Thesis, Department of Mechanical and Environmental Engineering, Univ. of California, Santa Barbara, California, 1986

    Google Scholar 

  41. Haftka, R. T. and Kamat, M. P.: Elements of Structural Optimization, Martinus Nijhoff, Dordrecht, Netherlands, 1985

    Google Scholar 

  42. Siddall, J. N.: Optimal Eng. Design, Marcel Dekker, New York 1982

    Google Scholar 

  43. Vecchi, M. P. and Kirkpatrick, S.: Global Wiring by Simulated Annealing, IEEE Trans. on Computer Aided Design of Integrated Circuits and Systems, Vol. CAD-2, 1983, 215–222

    Google Scholar 

  44. Ringertz, U. T.: On Methods for Discrete Structural Optimization, Engineering Optimization, Vol. 13, 1988, 47–64

    Article  Google Scholar 

  45. Rao, S. S.: Multiobjective Optimization of Fuzzy Structural Systems, Int. J. for Num. Meth. in Eng., Vol. 24, No. 6, 1987, 1157–1171

    Article  MATH  Google Scholar 

  46. Kopp, R., Arfmann, G. H. und Becker, M.: Optimierungsstrategien in der Umformtechnik, Werkstatt und Betrieb, Vol. 122, No. 11, 1989, 939–942

    Google Scholar 

  47. Sandgren, E.: Structural Design Optimization for Latitude by Nonlinear Goal Programming, Comp. and Struct., Vol. 33, No. 6, 1989, 1395–1402

    Article  MATH  Google Scholar 

  48. Thareja, R. R. and Haftka, R. T.: Efficient Single-Level Solution of Hierarchical Problems in Structural Optimization, AIAA J., Vol. 28, No. 3, 1990, 506–514

    Article  MATH  Google Scholar 

  49. Waston, L. T. and Haftka, R. T.: Modern Homotopy Meth. in Optimization, Comp. Meth. in Appt Mech. and Eng., Vol. 74, 1989, 289–305

    Article  Google Scholar 

  50. Waston, L. T. and Yang, W. H.: Optimal Design by a Homotopy Method, Applicable Anal., Vol. 10, 1980, 275–284

    Article  MathSciNet  Google Scholar 

  51. Waston, L. T. and Wang, C. Y.: A Homotopy Method Applied to Elastica Problem, Int. J. Solids and Structures, Vol. 17, 1981, 29–37

    Article  Google Scholar 

  52. Barthelemy, J.-F. M. and Riley, M. F.: Improved Multi-Level Optimization Approach for the Design of Complex Engineering Systems, AIAA J., Vol. 26, 1988, 353–360

    Article  Google Scholar 

  53. Yokoi, T. and Ebihara, D.: Optimal Design Technique for High Speed Single-Sided Linear Induction Motor Using Mathematical Programming Method, IEEE Trans. on Magnetics, Vol. 25, No. 5, 1989, 3596–3598

    Article  Google Scholar 

  54. Vanderplaats, G. N., Yang, Y. J., and Kim, D. S.: Sequential Linearization Method for Multilevel Optimization, AIAA J., Vol. 28, No. 2, 1990, 290–295

    Article  Google Scholar 

  55. Arora, J. S.: Computational Design Optimization—A Review and Future Directions, Structural Safety, Vol. 7, 1990, 131–148

    Article  Google Scholar 

  56. Arora, J. S.: Intr. to Optimum Design, McGraw-Hill, New York, 1989

    Google Scholar 

  57. Lee, W. D.: Simulated Annealing Applied to Shipbuilding Design, Neural Networks, Vol. 1, No. 1, 1988, 453

    Google Scholar 

  58. Sandgren, E.: Nonlinear Integer and Discrete Programming in Mechanical Design Optimization, ASME Journal of Mechanical Design, Vol. 112, No. 2, 1990, 223–229

    Article  Google Scholar 

  59. Hajela, P.: Genetic Search—An Approach to the Nonconvex Optimization Problem, AIAA Journal, Vol. 28, No. 7, 1990, 1205–1210

    Article  Google Scholar 

  60. Kling, R. M.: Optimization by Simulated Evolution and its Application to Cell Placement, Doctoral Thesis, Univ. of Illinois/Urbana-Champaign, Dept. of Electrical Eng., Urbana, III., 1990

    Google Scholar 

  61. Lee, H.: An Application of Integer and Discrete Optimization in Engineering Design, M. S. Thesis, Univ. Missouri-Columbia, 1983

    Google Scholar 

VII.17 Landwirtschaftliche Planung

  1. Boles, J. N.: Linear Programming and Farm Management Analysis, J. of Farm Economics, Vol. 37, 1955, 1–24

    Article  Google Scholar 

  2. Clarke, G. B. and Simpson, I. G.: A Theoretical Approach to the Profit Maximization Problems in Farm Management, J. Agric. Economics, Vol. 13, 1959, 150–164

    Google Scholar 

  3. Bishop, C. E.: Programming Farm-Nonfarm Allocation of Farm Family Resources, J. of Farm Economics, Vol. 38, No. 2, 1956

    Google Scholar 

  4. IBM: Farm Planning with the Acid of LP, IBM Form No. GE20–0334

    Google Scholar 

  5. Balm, I. R.: LP Applications in Scottish Agriculture, J. Operations Research Society, Vol. 31, 1980, 387–392

    Google Scholar 

  6. Fokkens, B. and Puylaert, M.: A Linear Programming Model for Daily Harvesting Operations at a Large-Scale Grain Farm of the Ijsselmeerpolders Development Authority, J. Oper. Res. Soc., Vol. 32, 1981, 535–548

    Google Scholar 

  7. Swart, W., Smith, C. and Holderby, T.: Expansion Planning for a Large Dairy Farm, in VIII.1. 2–70, 1975

    Google Scholar 

  8. Glen, J. J.: A Parametric Programming Method for Beef Cattle Ration Formulatation, J. Oper. Res. Society, Vol. 31, 1980, 689–698

    Google Scholar 

  9. Louwes, S. L., Boot, J. C. G., and Wage, S.: A Quadratic Programming Approach to the Problem of the Optimal Use of Milk in the Netherlands, J. Farm. Econ., Vol. 45, 1963, 309–317

    Article  Google Scholar 

  10. Rose, C. L.: Management Science in the Developing Countries—A Comparative Approach to Irrigation Feasibility, Mgmt. Sci., Vol. 20, 423–438

    Google Scholar 

  11. Fisher, W. D. and Schruben, L. W.: Linear Programming Applied to Feed-Mixing under Different Price Conditions, J. of Farm Economics,Vol. 53, 1953, 471–483

    Article  Google Scholar 

  12. Hutton, R. F. and Mc Alexander, R. H.: A Simplified Feed-Mix Model, J. of Farm Economics, Vol. 39, 1975

    Google Scholar 

  13. Waugh, F. V.: The Minimum-Cost Dairy Feed, Journal of Farm Economics, Vol. 33, No. 3, 1951, 299–310

    Article  Google Scholar 

  14. Swanson, E. R.: Solving Minimum-Cost Feed Mix Problems, J. of Farm Economics, Vol. 37, 1955, 135–139

    Article  Google Scholar 

  15. Van de Panne, C.: Minimum Cost Cattle Feed Under Probabilistic Protein Constraints, Mgmt. Sci., Vol. 3, No. 3, 1963

    Google Scholar 

  16. Glen, J. J.: Mathematical Models in Farm Planning—A Survey, Operations Research, Vol. 35, No. 5, 1987, 641–666

    Article  Google Scholar 

  17. Glen, J. J.: Mixed-Integer Programming Model for Fertilizer Policy Evaluation, Eur. J. of Oper. Res., Vol. 35, No. 2, 1988, 165–171

    Article  MathSciNet  Google Scholar 

  18. Kline, D. E., Bender, D. A., Mc Carl, B. A., and Van Donge, C. E.: Machinery Selection Using Expert System and Linear Programming, Comput. Electron. Agric., Vol. 3, No. 1, 1988, 45–61

    Article  Google Scholar 

  19. Minguez, M., Romero, C., and Domingo, J.: Determining Optimum Fertilizer Combinations Through Goal Programming with Penalty Functions—An Application to Sugar Beet Production in Spain, J. Oper. Res. Soc., Vol. 39, No. 1, 1988, 61–70

    Google Scholar 

  20. Tan, L.-P. and Fong, C.-O.: Determination of the Corp Mix of a Rubber Oil Palm Plantation—A Programming Approach, Eur. J. Oper. Res., Vol. 34, No. 3, 1988, 362–371

    Article  Google Scholar 

  21. Glen, J. J.: Least-Cost Rations and Optimal Livestock Feeding Policy, J. Oper. Res. Soc., Vol. 38, No. 9, 1987, 847–851

    Google Scholar 

VII.18 Unternehmensplanung

  1. Naylor, T. and Mann, M. (Ed.): Portfolio Planning and Corporate Strategy, Planning Executives Institute, Oxford, 1983

    Google Scholar 

  2. Hahn, D. und Taylor, B.: Strategische Unternehmensplanung, Stand und Entwicklungstendenzen, Physica, Würzburg, 1983

    Google Scholar 

  3. Schober, F. und Ploetzeneder, H. D. (Ed.): Ökonometrische Modelle und Systeme, Oldenbourg, München, 1978

    Google Scholar 

  4. Ploetzeneder, H. D. (Ed.): Computergestützte Unternehmensplanung, SRA, Stuttgart, 1977

    Google Scholar 

  5. Geitner, U. W.: Integrierte Unternehmensplanung durch Simulation, Forkel, Wiesbaden, 1984

    Google Scholar 

  6. Fraundorfer, K.: Decentralized Planning in Hierarchical Organizations, Diss., Johannes-KepplerUniversität, Linz, 1983

    Google Scholar 

  7. Walter, K. D.: Gestaltung und Verwirklichung linearer Modelle zur Unternehmensplanung, Bochum, 1977

    Google Scholar 

  8. Forestner, K. und Henn, R.: Die Anwendung ökonomischer Verfahren in der Unternehmensplanung, Zeitschrift für Betriebswirtschaft, Vol. 12, 1956, 700–710

    Google Scholar 

  9. Popp, W.: Strategische Planung/Integrierte Gesamtplanung. Zur Anyalyse Strategischer Aspekte mit gemischt-ganzzahliger Progr., in VIII.1. 1–57, 1985

    Google Scholar 

  10. Spatz, H.: Computergestützte integrierte Unternehmensplanung bei der Nixdorf Computer AG, in Vííí.1. 1–57, 1985

    Google Scholar 

  11. Staehly, P.: Dekompositionsverfahren und Integrierte Planung, in VIII.1. 1–57, 1985, 80–92

    Google Scholar 

  12. Ente, W. und Schmidt, R.: Experimente mit nichtlinearen, interdependenten Unternahmensmodellen, in VIII.1. 1–57, 1985

    Google Scholar 

  13. Mandl, C.: Konzeption, Realisierung und Einsatz eines Decision Support Systems für die Unternehmensplanung, in VIII.1. 1–57, 1985

    Google Scholar 

  14. Von Dobschuetz, L.: Strategische Unternehmensplanung. Strategische Planung und Operations Research, in VIII.1. 1–55, 1981

    Google Scholar 

  15. Feindor, R.: Erfahrungen bei der Entwickling eines rechnergestützten Unternehmens-PlanungsSystems, in VIII.1. 1–58, 1980

    Google Scholar 

  16. Naylor, T. H. and Thomas, C. (Eds.): Optimization Models for Strategic Planning, North-Holland, Amsterdam, 1984

    Google Scholar 

  17. Shapiro, J. F.: Practical Experience with Optimization Models, in VII. 18–16, 1984, 67–78

    Google Scholar 

  18. Kohel, K.: Direket und effiziente Ressourcenaufteilung in Unternehmen, Diplomarbeit, Universität Linz, 1984

    Google Scholar 

  19. Forgionne, G. A.: Corporate Management Science Activities—An Update, Interfaces, Vol. 13, No. 3, 1983, 20–23

    Article  Google Scholar 

  20. Gessner, P.: Ein integriertes Gesamtmodell eines Lebensversicherungsunternehmens—Ansatz der Unternehmensplanung in der Lebensversicherung, in VIII.1. 1–56, 1979

    Google Scholar 

  21. Bisschop, J. and Meeraus, A.: On the Development of a General Modeling System in a Strategic Planning Environment, Math. Progr. Study, Vol. 20, 1982, 1–29

    Article  Google Scholar 

  22. Hammann, P.: Choice of the Organization Structur—A Framework for the Quantitative Analysis of Industrial Centralization/Decentralization Issues, Zeitschr. für Oper. Res., Vol. 20, No. 2, 1976, B17–B35

    Google Scholar 

  23. Freihalter, R. und Ullrich, M.: Integrierte Verkaufs-, Produktions-und Investitionsplanung, Zeitschr. für Oper. Res., Vol. 18, No. 2, 1974, B11–B16

    Google Scholar 

  24. Mentzel, K. und Scholz, M.: Integrierte Verkaufs-, Produktions-und Investitionsplanung, Ablauf-und Planungsforschung, Vol. 12, No. 1, 1971, 1–15

    Google Scholar 

VII.19 Diverse Anwendungen

  1. Tabak, D. and Huo, B. C.: Optimal Control by Mathematical Programming, Prentice Hall, Englewood Cliffs, 1971

    Google Scholar 

  2. Simon, J. D. and Azma, H. M.: Exxon Experience with Large Scale Linear and Nonlinear Programming Applications, Comput. Chem. Eng., Vol. 7, No. 5, 1983

    Google Scholar 

  3. Lasdon, L. S. and Waren, A. D.: Large Scale Nonlinear Programming, Comput. Chem. Eng., Vol. 7, No. 5, 1983, 594–604

    Google Scholar 

  4. Tomlin, J. A.: Large-Scale Mathematical Programming Systems, Comput. Chem. Eng., Vol. 7, No. 5

    Google Scholar 

  5. Mole, R. H.: Dynamic Optimization of Vehicle Fleet Size, Oper. Res., Quarterly, Vol. 26, 1975

    Google Scholar 

  6. Pang, J.-S.: Methods for Quadratic Programming, Comput. Chem. Eng., Vol. 7, No. 5, 1983

    Google Scholar 

  7. Simms, B. W., Lamarre, B. G., Jardine, A. K. S., and Boudreau, A.: Optimal Buy, Operate and Sell Policies for Fleets of Vehicles, Eur. J. Oper. Res., Vol. 15, 1984, 183–195

    Article  MATH  Google Scholar 

  8. Plane, D. R. and Mc Milian, C.: Discrete Optimization, Integer Programming and Network Analysis for Management Decisions, Prentice-Hall, Englewood Cliffs, New Jersey, 1971

    Google Scholar 

  9. Tillmann, F.: Optimization of Systems Reliability, Dekker, New York and Basel, 1980

    Google Scholar 

  10. Beightler, C. S. and Phillips, D. T.: Applied Geometric Programming, Wiley, New York, 1976

    MATH  Google Scholar 

  11. Glover, F. and Klingman, D.: Network Applications in Industry and Government, AIIE Transactions, Vol. 9, No. 4, 1977, 363–376

    Article  Google Scholar 

  12. Tillmann, F.: Optimization of Systems Reliability, Dekker, New York-Basel, 1980

    Google Scholar 

  13. Tripathy, A.: School Timetabling—A Case in Large Binary Integer Linear Programming, Mgmt. Sci., Vol. 30, No. 12, 1984

    Google Scholar 

  14. Chalaris, I. and Pape, U.: Ein heuristisches Verfahren zur Disposition von öltransporten in ölleitungsnetzen, Angew, Inf., Vol. 25, No. 12, 1983

    Google Scholar 

  15. Escudero, L. F.: On Maintenance Scheduling of Production Units, Eur. Journal of Oper. Res., Vol. 9, 1982, 264–274

    Article  MATH  Google Scholar 

  16. Hillier, F. S.: Quantitative Tools for Plant Layout Analysis, J. of Ind. Eng., Vol. 14, No. 1, 1963, 33–40

    Google Scholar 

  17. Hillier, F. S. and Connors, M. M.: Quadratic Assignment Problem Algorithms and the Location of Indivisible Facilities, Management Science, Vol. 13, No. 1, 1966, 42–57

    Article  Google Scholar 

  18. Burkard, R. E. and Stratmann, K. H.: Numerical Investigations on Quadratic Assignment Problems, Nay. Res. Logist. Quart., Vol. 25, 1979, 129–144

    Article  Google Scholar 

  19. Wilhelm, M. R. and Ward, T. L.: Soving Quadratic Assignment Problems by Simulated Annealing, IIE Trans, Vol. 19, No. 1, 1987, 107–119

    Article  Google Scholar 

  20. Lawler, E. L.: The Quadratic Assignment Problem, Mgmt. Sci., Vol. 9, 1963, 586–599

    MathSciNet  MATH  Google Scholar 

  21. De Werra, D.: An Introduction to Timetabling, European Journal of Oper. Res., Vol. 19, 1985, 151–162

    Article  MATH  Google Scholar 

  22. Wolff, K. H.: Methoden der Unternehmensforschung im Versicherungswesen, Springer, Berlin, 1966

    Book  MATH  Google Scholar 

  23. Jewell, W. S.: Operations Research in the Insurance Industry—A Survey of Applications, J. of the Oper. Res. Soc. of America, Vol. 22, No. 5, 1974, 918–928

    Google Scholar 

  24. Williams, M. R.: A Graph Theory Model for the Solution of Timetables, Ph.D. Thesis, Univ. of Glasgow, 1968

    Google Scholar 

  25. Moreland, J. A.: Scheduling of Airline Flight Crews, M. S. Thesis, M. I. T., 1966

    Google Scholar 

  26. Levin, A.: Fleet Routing and Scheduling Problems for Air Transportation Systems, Ph.D. Diss., M. I. T., 1969

    Google Scholar 

  27. Brown, A. R.: Optimum Packing and Depletion, American Elsevier, New York, 1971

    MATH  Google Scholar 

  28. Christofides, N., Mingozzi, A., and Toth, P.: Loading Problems, in Vííí.1. 6–05, 1979

    Google Scholar 

  29. Eilon, S. and Christofides, N.: The Loading Problem, Management Science, Vol. 17, 1971, 259

    Article  MATH  Google Scholar 

  30. Catthoor, F., De Man, H., and Vandewalla, J: Simulated-Annealing-Based Optimiz. of Coefficient and Data Word-Lengths in Digital Filters, Int, J. Circuit Theory Appl., Vol. 16, No. 4, 1988, 371–390

    Article  Google Scholar 

  31. Anandalingam, G.: A Mathematical Programming Model of Decentralized Multi Level Systems, J. of the Oper. Res. Soc. (UK), Vol. 39, No. 11, 1988, 1021–1033

    MATH  Google Scholar 

  32. Alan, A., Pritsker, B., Watters, L. J., and Wolfe, P. M.: Multiproject Scheduling with Limited Resources, A Zero-One Programming Approach, Mgmt. Sci., Vol. 16, No. 1, 1969, 93–108

    Google Scholar 

  33. Mize, J. H.: A Heuristic Scheduling Model for Multi-Project Organizations, Ph.D. Thesis, Purdue Univ., 1964

    Google Scholar 

  34. Wiest, J. D.: Some Properties od Scheduling for Large Projects with Limited Resources, Operations Research, Vol. 12, 1964, 395–418

    Article  Google Scholar 

  35. Wiest, J. D.: A Heuristic Model for Scheduling Large Projects with Limited Resources, Mgmt. Science, Vol. 13, No. 6, 1967, 359–377

    Google Scholar 

  36. Leitmann, G.: Optimization Techniques with Applications to Aerospace Systems, Academic Press, New York, 1962

    MATH  Google Scholar 

  37. Nahmias, S.: Higher-Order Approximations for the Perishable-Inventory Problem, Oper. Res., Vol. 25, No. 4, 1977, 630–640

    MathSciNet  MATH  Google Scholar 

  38. Van Zyl, G. J. J.: Inventory Control for Perishable Commodities, Unpubl. Ph.D. Diss., Univ. of North Carolina, Chapel Hill, N. C., 1964

    Google Scholar 

  39. Gianessi, F. and Nicoletti, B.: The Crew Scheduling Problem—A Travelling Salesman Approach, in VIII.1. 6–05, 1979

    Google Scholar 

  40. Ashton, A. H. and Ashton, R. H.: Aggregating Subjective Forecasts—Some Empirical Results, Mgmt. Science, Vol. 31, 1985, 1499–1508

    Google Scholar 

  41. Pinter, J. and Cooke, R.: Combining Expert Opinions An Optimization Framework, Technische Hogeschool Delft ( Netherlands ), Dept. of Mathematics and Informatics Computer Science, 1987

    Google Scholar 

  42. Little, J. D. C.: The Synchronization of Traffic Signals by Mixed Integer linear Programming, Oper. Res., Vol. 14, 1966, 568–594

    MATH  Google Scholar 

  43. Wagner, H. M.: Wagner, H. M., Giglio, R. J. and Glaser, R. G.—Preventive Maintenance Scheduling by Mathematical Programming, Management Science, Vol. 10, 1964, 316–334

    Google Scholar 

  44. Hewins, R. D.: Management Science Models for Foreign Exchange, Ph.D. Thesis, Imperial College, 1977

    Google Scholar 

  45. Christofides, N., Hewins, R. D., and Salkin, G. R.: Graph Theoretic Approaches to Foreign Exchange Operations, in VIII.1. 6–05, 1979

    Google Scholar 

  46. Junginger, W.: Stundenpläne aus dem Computer-ein Bericht zur momentanen Lage in Deutschland, Angewandte Informatik, Vol. 27, No. 4, 1985

    Google Scholar 

  47. Appleby, J. S. et al.: School Timetables on a Computer and Their Application to Other Scheduling Problems, The Computer J., Vol. 3, 1961, 237–245

    Article  MathSciNet  MATH  Google Scholar 

  48. Arnoff, E. L. and Chambers, J. C.: On the Determination of Optimum Reserve Generation Capacity in an Electric Utility System, Oper. Res., Vol. 4, No. 4, 1956

    Google Scholar 

  49. Aronofsky, J. S. and Williams, A. C.: The Use of Linear Programming and Mathematical Models in Underground Oil Production, Mgmt. Science, Vol. 8, No. 4, 1962

    Google Scholar 

  50. Arrow, K. J., Karlin, S., and Suppes, P. (Eds.): Mathematical Methods in the Social Sciences, Proceedings of the First Stanford Symposium, Stanford Univ. Press, Stanfort, Cal., 1958

    Google Scholar 

  51. Bailey, N. T. J.: Operational Research in Medicine, Operations Research Quarterly, Vol. 3, No. 2, 1952

    Google Scholar 

  52. Müller-Merbach, H.: Optimale Einkaufsmengen, Ablauf und Planungs-forschung, Vol. 4, No. 3, 1963, 226–237

    Google Scholar 

  53. Beckmann, M. J.: Lagerhaltung bei Unsicherheit, unternehmensforschung, Vol. 7, No. 1, 1963, 9–26

    Article  MATH  Google Scholar 

  54. Bell, G. E.: Operational Research into Air Traffic Control, Journal of the Royal Aeronautical Society, Vol. 53, 1952

    Google Scholar 

  55. Bennett, M. G.: The Use of Operational Research for British Railways, British Iron and Steel Research Association Conference, 1954

    Google Scholar 

  56. Wetzel, W.: Lineare Verteilungsmodelle in der Betriebswirtschaft-Beispiele für den praktischen Einsatz der Linearplanung in Unternehmungen, Unternehmensforschung, Vol. 1, 1956

    Google Scholar 

  57. Wolff, M.: Optimal Instandhaltungspolitiken in einfachen Systemen, Springer, Berlin, 1970

    Google Scholar 

  58. Rao, A. G.: Quantitat. Theories in Advertising, Wiley, New York, 1970

    Google Scholar 

  59. Steinecke,V., Seifert, O. und Ohse, D.: Lineare Planungsmodelle im praktischen Einsatz, Berlin, 1973

    Google Scholar 

  60. Dantzig, G. B. and Ferguson, A. R.: The Allocation of Aircrafts to Routes—An Example of Linear Programming under Uncertain Demand, Mgmt. Sci., Vol. 3, 1956, 45–73

    MathSciNet  MATH  Google Scholar 

  61. Derigs, U.: Rangzuordnungsprobleme, Diplomarbeit, Mathematisches Institut, Universität Köln, 1975

    Google Scholar 

  62. Derigs, U.: Rangzuordnugsprobleme, Zeitschrift fzer Operations Research, Vol. 21, 1977, 75–83

    Article  MathSciNet  MATH  Google Scholar 

  63. Mc Diarmid, J. H.: The Solution of a Timetabling Problem, J. Inst. Math. Appl., Vol. 9, 1972, 23–24

    Article  MathSciNet  Google Scholar 

  64. Meyer, M. und Steinmann, H.: Planungsmodelle der Grundstoffindustrie, Physica, Würzburg, 1971

    Google Scholar 

  65. Korth, H.: Zur Optimierung des hochofenmoellers, Diss., Berlin, 1974

    Google Scholar 

  66. Bussmann, K. F. und Mertens, P. (Eds.): Oper. Res. und Datenverarbietung in der Instandhaltungsplanung, Poeschel, Stuttgart, 1968

    Google Scholar 

  67. Stahlkenecht, P.: Wirtschaftliche Kammerlängen im Kalibergbau, Elektronische Datenverarbeitung, Heft 4, 1961

    Google Scholar 

  68. Christofides, N., Alvarez-Valdes, R., and Tamarit, J. M.: Project Scheduling with Resource Constraints—A Branch-and-Bound Approach, Eur. J. of Oper. Res., Vol. 29, No. 3, 1987, 262–273

    Article  MathSciNet  MATH  Google Scholar 

  69. Karamarkar, N. and Sinha, L. P.: Application of Karmarkar’s Algorithm to Overseas Telecommunications Facilities Planning, XII. Int. Symposium on Math. Programming, Boston, 1985

    Google Scholar 

  70. Lohse, F.: OR im Gesundheitswesen. Modellgestützte Analyse der Auswirkungen alternativer Systemgestaltungen der gesetzlichen Krankenversicherung, in VIII.1. 1–57, 1985

    Google Scholar 

  71. Wohlmannstetter, V.: Die Effizienz von Krankenhäusern—Ein Vorschlag zu ihrer Ermittlung mit Hilfe der mathematischen Progr., in VIII.1. 1–57, 1985

    Google Scholar 

  72. Zander, H.: Lineare Planungsmodelle bei Ruhrkohle AG, in VIII.1. 1–55, 1981

    Google Scholar 

  73. Reichel, G.: Operations Research im Versicherungswesen, in VIII.1. 1–55, 1981

    Google Scholar 

  74. Larsen, P. M.: Industrial Applications of Fuzzy Logic Control, Int. Man-Machine Studies, Vol. 12, No. 1, 1980

    Google Scholar 

  75. Mamdani, E. H. and Gaines, B. R. (Eds.): Fuzzy Reasoning and its Applications, Academic Press, London, 1981

    MATH  Google Scholar 

  76. Nishida, T. and Takeda, E.: Fuzzy Sets and its Applications, Morikita (in Japanese), Tokyo, 1978

    Google Scholar 

  77. Wiedey, G. and Zimmermann, H.-J.: Media Selection and Fuzzy Linear Programming, Oper. Res., Vol. 29, No. 11, 1978, 1071–1084

    MATH  Google Scholar 

  78. Wang, P. P.: Advances in Fuzzy Sets, Possibility Theory and Applications, Plenum Press, New York, 1983

    Book  MATH  Google Scholar 

  79. Scharge, L.: Solving Resource-Constrained Network Problems by Implicit Enumeration—Nonpreemptive Case, Oper. Res., Vol. 18, No. 2, 1970, 263–278

    Google Scholar 

  80. Junginger, W.: Zurueckfuehrung des Stundenplanproblems auf ein dreidimensionales Transportproblem, Zeitschr. für Oper. Res., Teil Theorie, Vol. 16, No. 1, 1972, 25

    MathSciNet  Google Scholar 

  81. Vollert, H.: Kurzfristige Liquiditätsplunug bei Schweizer Banken mit Mathematischer Programmierung, in VIII. 1–57, 1985, 129–135

    Google Scholar 

  82. Meyer zu Selhausen, H.: Optimalplanung von Aktiv-und Passiv- Geschäft einer Bank, in Ruehli, E. und Thommen, J.-P. (Eds.)—Unternehmensfuehrung aus finanz-und bankwirtschaftlicher Sicht, C. E. Poeschel Verlag, Stuttgart, 1981, 177–194

    Google Scholar 

  83. Isermann, H.: Stapelung von rechteckigen Versandgebinden auf Paletten—Generierung von Stapelänen im Dialog mit einem PC, in VIII.1. 1–57, 1985, 355–362

    Google Scholar 

  84. Iserman, H.: Optimierung der Palettenbeladung im praktischen Einsatz—Eine Fallstudie, Fak. für Wirtsch., Universität Bielefeld, 1984

    Google Scholar 

  85. Salzer, J. J.: Opt. Stapelmuster, Neue Verpackung, 1983, 1248–1252

    Google Scholar 

  86. Smith, A. and De Cani, P.: An Algorithm to Optimize the Layout of Boxes in Pallets, J. Oper. Res. Soc., Vol. 31, 1980, 573–578

    Google Scholar 

  87. Steudel, H. J.: Generating Pallet Loading Patterns, Management Science, Vol. 25, 1979, 997–1004

    Article  MATH  Google Scholar 

  88. Warschat, J.: Optimale Steuerung eines Produktions-Lagerhaltungs-systems mit beschränkten Zustandsgrößen bei verschiedenen Kostenkriterien, in VIII.1. 1–57, 1985, 532–538

    MathSciNet  Google Scholar 

  89. Warschat, J. and Wunderlich, H.-J.: Time-Optimal Control Policies for Cascaded Production-Inventory Systems with Control and State Constraints, Int. J. Systems Sci., Vol. 15, 1984, 513–524

    Article  MathSciNet  MATH  Google Scholar 

  90. Leipala, T. and Nevalainen, O.: Optimization of Movements of a Component Placement Machine, Eur. J. of Oper. Res., Vol. 38, No. 2, 1989, 167–177

    Article  Google Scholar 

  91. Dennis, J. B.: Mathematical Programming and Electrical Networks, M. I. T. Press and John Wiley, New York, 1959

    Google Scholar 

  92. Sarma, P. V. and Reklaitis, G. V.: Optimization of a Complex Chemical Process Using an Equation Oriented Method, Math. Progr. Study, No. 20, 1982, 113–160

    Article  MATH  Google Scholar 

  93. Corley, H. W. Jr.: Optimal Set-Partitioning with Applications in the Regional Design, Ph.D. Diss., Univ. of Florida, Gainesville, Florida, 1971

    Google Scholar 

  94. Cerda, J. et al.: A New Methodology for the Optimal Design and Production Schedule of Multipurpose Batch Plants, Ind. Eng. Chem. Res., Vol. 28, 1989, 988–998

    Article  Google Scholar 

  95. Jurecka, W. and Zimmermann, H.-J.: Operations Research im Bauwesen, Springer, Berlin, 1971

    Google Scholar 

  96. Neuvians, G. und Zimmermann, H.-J.: Die Ermittlung optimaler Ersatz-und Instandhaltungspolitiken mit Hilfe des dynamischen Programmierens, Ablauf-und Planungsforschung, 1970, 94

    Google Scholar 

  97. Klarbring, A. and Bjorkman, G.: Treatment of Problems in Contact Mechanics by Mathematical Programming, J. Mec. Theor. Appl., Vol. 7, No. 1, Suppl., 1988, 83–96

    Google Scholar 

  98. Christian, J. and Caldera, H.: Earthmoving Cost Optimization by Oper. Res., Can. J. Civ. Eng., Vol. 15, No. 4 1988, 679–684

    Article  Google Scholar 

  99. Ellis, J. H. and Revelle, C. S.: Separable Linear Algorithm for Hydro-power Optimize., Water Resources Bull, Vol. 24, No. 2, 1988, 435–447

    Article  Google Scholar 

  100. Yager, R. R.: A Mathematical Programming Approach to Inference with the Capability of Implementing Default Rules, Int. J. Man-Machine Studies, Vol. 29, 1988, 685–714

    Article  MATH  Google Scholar 

  101. Trypia, M. N.: Cost Minimization of simulataneous Projects that Require the Same Resource, Eur. J. of Oper. Res., Vol. 5, 1980, 235–238

    Article  MATH  Google Scholar 

  102. Mohanty, R. P. and Siddiq, M. K.: Multiple Projects—Multiple Resources—Constrained Scheduling—Some Studies, Int. J. Prod. Res., Vol. 27, No. 2, 1989, 261–280

    Article  Google Scholar 

  103. Lightner, H. R.: Multiple Criterion Optimization and Statistical Design for Electronic Circuits, Ph.D. Thesis, Carnegie-Mellon Univ., 1979

    Google Scholar 

  104. Barahona, F., Grötschel, M., Jünger, M., and Reinelt. G.: An Application of Combinatorial Optimization to Statistical Physics and Circuit Layout Design, Oper. Res., Vol. 36, 1988, 493–513

    Article  MATH  Google Scholar 

  105. Cheshire, M., Mc Kinnon, K. I. M., and Williams, H. P.: The Efficient Allocation of Private Contractors to Public Work, J. Oper. Res. Soc., Vol. 35, 1984, 705–709

    Google Scholar 

  106. Dantzig, G. B., Mc Allister, P. H., and Stone, J. C.: Formulating an Objective for an Economy, Math. Progr., Vol. 42, 1988, 11–32

    Article  MATH  Google Scholar 

  107. Dantzig, G. B., Mc Allister, P. H., and Stone, J. C.: Deriving a Utility Function for the U. S. Economy, Systems Optimization Laboratory, Dept. of Oper. Res., Stanford Univ., October 1987

    Google Scholar 

  108. Foulds, L. R.: Testing the Theory of Evolution—A Novel Application of Combinatorial Optimization, Discrete Appl. Math., Vol. 15, No. 2–3, 1986, 271–282

    MathSciNet  MATH  Google Scholar 

  109. Foulds, L. R. and Graham, R. L.: The Steiner Problem in Phylogeny is NP-Complete, Adv. in Appl. Math., Vol. 3, 1983, 43–49

    MathSciNet  Google Scholar 

  110. Liittschwager, J. M. and Wang, C.: Integer Programming Solution for a Classification Problem, Mgmt. Sci., Vol. 24, 1978, 1515

    MATH  Google Scholar 

  111. Rao, M. R.: Cluster Analysis and Mathematical Programming, J. Am. Statistical Ass., Vol. 66, 1971, 622

    MATH  Google Scholar 

  112. Bajgier, S. M. and Hill, A. V.: An Experimental Comparison of Statistical and Linear Programming Approaches to the Discriminant Problem, Decis. Sci., Vol. 13, 1982, 604–618

    Google Scholar 

  113. Arthanari, T. S. and Dodge, Y.: Mathematical Programming is Statistics Wiley, New York, 1981

    Google Scholar 

  114. Bass, F. M. and Lonsdale,.R. T.: An Exploration of Linear Programming in Media Selection, J. Marketing Research, Vol. 3, 1966, 179–188

    Article  Google Scholar 

  115. Engel, J. F. abd Warshaw, M. R.: Allocating Advertising Dollars by Linear Programming, J. Advertising Res., Vol. 5, 1964, 42–48

    Google Scholar 

  116. Fabian, T.: Blast Furnace Production Planning—A Linear Programming Example, Mgmt. Sci., Vol. B14, 1967, 1–27

    MathSciNet  Google Scholar 

  117. Loucks, O. P., Revelle, C. S., and Lynn, W. R.: Linear Progr. Models for Water Pollution Control, Mgmt. Sci., Vol. B14, 1968, 166–181

    Google Scholar 

  118. Smith, D.: Linear Programming Models in Business, Polytech Publishers, Stockport, U. K., 1973

    Google Scholar 

  119. Salkin, H. M. and Saha, J. (Eds.): Studies in Linear Programming North Holland, Amsterdam, 1975

    Google Scholar 

  120. Spath, H., Gutgesell, W., and Grun, G.: Short Term Liquidity Management in a Large Concern Using Linear Prog., in VIII. 19–119, 1975

    Google Scholar 

  121. Schlick, H.: Die Anwendung der “Fuzzy Set Theory” zur Entscheidungsfindung und Prozessteuerung im Bauingeieurwesen, Baumasch. Bautechnik, Vol. 32, 1985, 183

    Google Scholar 

  122. Schlick, H.: Vorhersagen und Planen mit unscharfen Mengen—Fuzzy Set Theory im Bauingeieurwesen, Teil 1 und 2, Baumasch. Bautechnik, Vol. 35, No. 4 und No. 5, 1988

    Google Scholar 

  123. Sethi, S. P. and Thomson, G. L.: Applied Optimal Control and Mgmt. Sci., Martinus Nijhoff, Boston, 1981

    Google Scholar 

  124. Sidiq, A.: Das Konzept der unscharfen Mengen und dessen Anwendung auf die Bauproduktion am Beispiel des Strassenbaus, Tiefbau—Ingenieurbau—Strassenbau, No. 1 und No. 2, 1987

    Google Scholar 

  125. Lazaro, M. and Puigjaner, L.: Simulation and Optimization of Multiproduct Plants for Batch and Semibatch Operation, I. Chem. Symposium Series, Vol. 92, 1985, 209–222

    Google Scholar 

  126. Schultz, R. (Ed.): Applications of Management Science, Elsevier, New York, 1984

    Google Scholar 

  127. Bracken, J. and Mc Cormick, G. P.: Selected Applications of Nonlinear Programming, Wiley, New York, 1968

    MATH  Google Scholar 

  128. Young, W., Ferguson, J. G., and Corbishley, B.: Some Aspects of Planning in Coal Mining, Oper. Res. Quart., Vol. 14, 1963, 31–45

    Google Scholar 

  129. Wardle, P. A.: Forest Management and Operational Research, Management Science, Vol. 11, 1965, 260–270

    Article  Google Scholar 

  130. Foulds, L. R.: Techniques for Facilities Layout—Deciding Which Pairs of Activities Should be Adjacent, Mgmt, Science, Vol. 29, No. 12, 1983, 1414–1426

    MATH  Google Scholar 

  131. Eisemann, K. and Yound, W. M.: Study of a Textile Mill with the Aid of Linear Programming, Management Technology, Vol. 1 No. 1, 1960

    Google Scholar 

  132. Slowinsky, R.: A Multicriteria Programming Method for Water Supply Systems Development Planning, Fuzzy Sets and Systems, Vol. 19, 1986, 217–228

    Article  MathSciNet  Google Scholar 

  133. Zangwill, W. I.: Media Selection by Decision Programming, J. Advertising Research, Vol. 5, 1965, 23–27

    Google Scholar 

  134. Müller-Merbach, H.: Lineare Planungsrechnung und industrielle Anwendung, Zeitschrift für das Gesamte Rechnugswesen, Vol. 13, No. 3, 1967, 48–52 und No. 4, 89–92

    Google Scholar 

  135. Cottle, R. W. and Pang. J. S.: On Solving Linear Complementarity Problems as Linear Programs, Math. Progr. Study, No. 7, 88–107

    Google Scholar 

  136. Mangasarian, O. L.: Linear Complementarity Problem Solvable by a Single Linear Program, Math. Prgr., Vol. 10, 1976, 263–270

    Article  MathSciNet  MATH  Google Scholar 

  137. Mangasarian, O. L.: Characterization of Linear Complementarity Problems as Lin. Progr., Math. Progr. Study, Vol. 7, 1978, 74–87

    Article  MathSciNet  MATH  Google Scholar 

  138. Eaves, B. C.: The Linear Complementarity Problem, Management Science, Vol. 17, 1971, 61 2634

    Google Scholar 

  139. Wiebking, R. D.: Verschiedene Anwendungen der nichtlinearen Programmierung, in VIII.1. 1–56, 1979

    Google Scholar 

  140. Dembo, R. S., Mulvey, J. M., and Zenios, S. A.: Large-Scale Nonlinear Network Models and their Application, Oper. Res., Vol. 37, No. 3, 1989, 353–372

    MathSciNet  MATH  Google Scholar 

  141. Warner, D. M. and Prawda, J.: A Mathematical Programming Model for Scheduling Nursing Personnel in a Hospital, Mgmt. Science, Vol. 9, 1972, 411–422

    Google Scholar 

  142. Bradley, S. P., Hax, A. C., and Magnanti, T. L.: Applied Mathematical Programming, Addison-Wesley, Reading, Mass., 1977

    Google Scholar 

  143. Chowdhury, S.: Analytical Approaches to the Combinatorial Optimization in Linear Placement Problems, IEEE Trans. on Computer Aided Design, Vol. 8, No. 6, 1989, 630–639

    Article  Google Scholar 

  144. Goto, S.: An Efficient Algorithm for the Two-Dimensional Placement Problem in Electrical Circuit Layout, IEEE Trans. Circuit Syst., Vol. CAS-28, 1981, 12–18

    Google Scholar 

  145. Bazaraa, M. S. and Elshafei, A. N.: An Exact Branch-and Bound Procedure for Quadratic Assignment Problem, Nay. Res. Log. Quart., Vol. 26, No. 1, 1979, 109–120

    Article  MathSciNet  MATH  Google Scholar 

  146. Hanan, M. and Kurtzberg, J. M.: A Review of the Placement and Quadratic Assignment Problems, SIAM Review, Vol. 14, No. 2, 1972, 324–341

    Article  MathSciNet  MATH  Google Scholar 

  147. Hales, H. L. (Ed.): Computerized Facilities Planning—Selected Readings, Ind. Eng. and Management Press, Norcross, GA, 1985

    Google Scholar 

  148. Wilhelm, M. R., Ward, T. L., Rankin, R. A., Gupta, R. and Dutton, R.: Innovative Improvement Procedures for Solving Quadratic Assignment Problems, in VII. 19–147, 1985

    Google Scholar 

  149. Reklaitis, G. V., Ravindran, A. and Ragsdell, K. M.: Engineering Optimization—Methods and Applications, Wiley, New York, 1983

    Google Scholar 

  150. Rose, J., Klebsch, W. and Wolf, J.: Temperature Measurement of Simulated Annealing Placements, Standford Univ., Computer System Lab., Standford, California, 1987

    Google Scholar 

  151. Pang, J. S., Kaneko, I. and Hallman, W. P.: On the Solution of Some (Parametric) Linear Complementarity Problems with Applications to Portfolio Selection, Structural Engineering and Actuarial Graduation, Math. Progr., Vol. 17, 1979, 325–347

    Article  MathSciNet  Google Scholar 

  152. Papamarkos, N.: A Program for the Optimum Approximation of Real Rational Functions Via Linear Programming, Adv. Eng. Software, Vol. 11, No. 1, 1989, 37–48

    MATH  Google Scholar 

  153. Guimaraes, R. C. and Kingsman, B. G.: Simulation-Optimisation—The Method and its Application in the Analysis of Grain Terminal Operations, Eur. J. Oper. Res., Vol. 41, 1989, 44–53

    Article  Google Scholar 

  154. Mc Mahon, W. L. and Roach, P. A.: Site Energy Optimization—A Mathematical Progr. Approach, Interfaces, Vol. 12, No. 6, 1982, 66–82

    Google Scholar 

  155. Duffuaa, S. O. and Raouf, A.: Mathematical Optimization Models for Multicharacteristic Repeat Inspections, Appl. Math. Modelling. Vol. 13, No. 7, 1989, 408–412

    Article  Google Scholar 

  156. Jain, J. K.: A Model for Determining the Opt. Number of Inspection Costs, Unpubl. Master Thesis, Univ. of Windsor, Ontario, 1977

    Google Scholar 

  157. Cohoon, J. and Sahni, S.: Heuristics for the Board Permutation Problem, Proc. Int. Conf. Computer-Aided Design, 1983, 81–83

    Google Scholar 

  158. Husain, A. and Gangiah, K.: Optimization Techniques, Macmillan India, 1976

    Google Scholar 

  159. Moon, G. and Mc Roberts, K. L.: Combinatorial Optimization in Facility Layout. Comp. Ind. Eng., Vol. 17, No. 1–4, 1989, Proc. of the 11th Annual Conf. on Computers in Ind. Eng., Orlando, Florida, 1989, 43–48

    Google Scholar 

  160. Davis, E. W. and Patterson, J. H.: A Comparison of Heuristic and Optimum Solutions in Resource Constrained Project Scheduling Mgmt. Sci., Vol. 21, 1975, 944–955

    Google Scholar 

  161. Kim, S. O. and Schniederjans, M. C.: Heuristic Framework for the Resource Constrained Multi-Project Scheduling Problem, Comp. and Oper. Res., Vol. 16, No. 6, 1989, 541–556

    Google Scholar 

  162. Iri, M.: Appl. of Matroid Theory, in VIII.1. 1–16, 1983, 158–201

    MathSciNet  Google Scholar 

  163. Koellner, H., Schammler, G. et al.: Vektoroptimierung als Entscheidungshilfe bei der Rationalisierung komplexer verfahrenstechnischer Systeme, Teile II und III, Chem. Tech. (Leipzig), Vol. 41, 1989, 11–14 und 54–57

    Google Scholar 

  164. Sahinidis, N. V. et.al.: Optimization Model fl or Long Range Planning in the Chemical Industry, Comput. Chem. Eng., Vol. 13, No. 9, 1989, 1049–1063

    Google Scholar 

  165. Ostrovskii, G. M., Ostrovskii, M. G., and Berezhinskii, T. A.: Optimizing Steady State Regimes in Complex Chemical Engineering Systems, USSR Theor. Found. Chem. Eng., Vol. 22, No. 3, 1989, 293–299

    Google Scholar 

  166. Giles, P.: The Value of Information for Decision-Making in Insurance, Oper. Res. Quarterly, Vol. 20, 1969, page 293

    Google Scholar 

  167. Dantzig, G. B., Johnson, S. H., and White, W. B.: A Linear Programming Approach to the Chemical Equilibrium Problem, Mgmt. Sci., Vol. 5, 1985, 38–43

    MathSciNet  Google Scholar 

  168. White, W. B., Johnson, S. H., and Dantzig, G. B.: Chemical Equilibrium in Complex Mixtures, J. Chem. Phys., Vol. 28, 1958, 751–755

    Article  Google Scholar 

  169. Martello, S., Laporte, G., Minoux, M., Ribeiro, C. (Ed.): Surveys in Combinatorial Problem Solving, North-Holland, Amsterdam, 1987

    Google Scholar 

  170. Koopmans. T. C. and Beckmann, M. J.: Assignment Problems and the Location of Econ. Activities, Econometrica, Vol. 25, 1957, 53–76

    Google Scholar 

  171. Finke, G., Burkard, R. E. and Rendl, F.: Quadratic Assignment Problems, in VII. 19–169, 1987, 61–82

    MathSciNet  Google Scholar 

  172. Krarup, J. and Pruzan, P. M.: Computer-Aided Layout Design, Mathematical Programming Study, No. 9, 1978, 75–94

    Article  MathSciNet  Google Scholar 

  173. Gomory, R. E. and Hu, T. C.: Synthesis of a Communication Network, SIAM J. Appl. Math., Vol. 12, 1964, 348–369

    MathSciNet  MATH  Google Scholar 

  174. Minoux, M.: Network Synthesis and Dynamic Network Optimization, in VII. 19–169, 1987, 283–324

    MathSciNet  Google Scholar 

  175. Wong, D. F., Leong, H. W. and Liu, C. L.: Simulated Annealing for VLSI Design, Kluwer Academic Publishers, Boston, 1988

    Book  MATH  Google Scholar 

  176. Seo, F. and Sakawa, M.: Multiple Criteria Decision Analysis in Regional Planning—Concepts, Methods and Applications, D. Reidel Publishing Company, Boston, 1988

    Google Scholar 

  177. Edgar, T. F. and Himmelblau, D. M.: Optimization of Chemical Processes, McGraw-Hill, New York, 1988

    Google Scholar 

  178. Gorak, A., Kraslawski, A. and Vogelpohl, A.: Simulation and Optimization of Multicomponent Distillation, International Chemical Engineering, Vol. 30, No. 1, 1990, 1–15

    Google Scholar 

  179. Bazaraa, M. S. and Kirca, O.: A Branch-and-Bound Based Heuristic for Solving the Quadratic Assignment Problem, Nay. Res. Logist. Quart., Vol. 30, 1983, 287–304

    Article  MathSciNet  MATH  Google Scholar 

  180. Keaton, M. H.: Designing Optimal Railroad Operating Plans—Lagrangian Relaxation and Heuristic Approaches, Transp. Res., Vol. 23B, No. 6, 1989, 415–431

    Google Scholar 

  181. Keaton, M. H.: Optimizing Railroad Operations, Unpublished Ph.D. Diss., Univ. of Wisconsin, Madison, 1985

    Google Scholar 

  182. Cacuci, D. G.: Global Optimization and Sensitivity Analysis, Nuclear Science and Engineering, Vol. 104, No. 1, 1990, 78–88

    MathSciNet  Google Scholar 

  183. Radulescu, M. and Radulescu, S.: Applications of Discrete Mathematical Programming to the Design of Distributed Database Systems, Econ. Comp. and Econ. Cybernetics Studies and Research, Vol. 24, No. 1, 1989, 37–52

    MathSciNet  MATH  Google Scholar 

  184. Connolly, D. T.: Improved Annealing Scheme for the QAP, Europ. J. Oper. Res., Vol. 46, No. 1, 1990, 93–100

    Article  MathSciNet  MATH  Google Scholar 

  185. Roberts, S. M.: Dynamic Programming in Chemical Engineering and Process Control, Academic Press, New York, 1964

    Google Scholar 

  186. Gershkoff, I.: Optimizing Flight Crew Schedules, Interfaces, Vol. 19, No. 4, 1989, 29–43

    Article  Google Scholar 

  187. Burkard, R. E.: Quadratic Assignment Problems, Eur. J. Oper. Res. Vol. 15, 1984, 283–289

    Article  MathSciNet  MATH  Google Scholar 

  188. Sunderland, K. V.: Bank Planning Models—Some Quantitative Methods Applied to Bank Planning Problems, Paul Haupt Verlag, Bern, 1974

    Google Scholar 

  189. Schiefer, G.: Lösung großer linearer Regionalplanungsprobleme mit der Methode von Dantzig und Wolfe, Zeitschr. für Oper. Res., Vol. 20, No. 1976, B1 - B16

    Google Scholar 

  190. Burkard, R. E.: Heuristische Verfahren zur Lösung quadratischer Zuordnungsprobleme, Zeitschr. für Oper. Res., Vol. 19, No. 5, 1975, 183–193

    MATH  Google Scholar 

  191. Cheng, T. C. E.: An Overview of Uses of OR Techniques in Bank Management, Managerial Finance (UK), Vol. 16, No. 1, 1990, 1–6

    Article  Google Scholar 

  192. Schlegel, H.: Verwendbarkeit von Operations-Research-Modellen in der Praxis der Planung von Produkten in der Automobilbranche, Fortschrittliche Betriebsführung, Vol. 22, No. 4, 1973, 195–202

    Google Scholar 

  193. Churgin, A. I. and Peschel, M. (Eds.): Optimierung von Erzeugnissen und Prozessen—Ein-und mehrkritirielle Methoden, Oldenbourg, München, 1990

    Google Scholar 

  194. Wright, M. B.: Applying Stochastic Algorithms to a Locomotive Schedul. Problem, J. Oper. Res. Soc., Vol. 40, No. 2, 1990, 187

    Google Scholar 

  195. Lasdon, L. S. and Waren, A. D.: Survey of Nonlinear Programming Appl., Oper. Res., Vol. 28, No. 5, 1980, 34–50

    MathSciNet  Google Scholar 

  196. Darby, M. I. and White, D. C.: On-line Optimization of Complex Chemical Processes, Chem. Eng. Progress, Vol. 84, No. 10, 1988, 51–59

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Littger, K. (1992). Überblick über anwendungsbezogene Veröffentlichungen. In: Optimierung. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-87729-2_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-87729-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-87730-8

  • Online ISBN: 978-3-642-87729-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics