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Simulation for Industry 4.0 pp 247–273Cite as

Smart Combat Simulations in Terms of Industry 4.0

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Part of the book series: Springer Series in Advanced Manufacturing ((SSAM))

Abstract

The military Command, Control, Computer, Communication, Intelligence, Surveillance, and Reconnaissance (C4ISR) concepts and those of Industry 4.0 (I4.0) have lots in common. The analysis of defense systems is described by showing the corresponds of the three basic concepts of I4.0 in defense systems. These are connections between cyber-physical systems and automated weapon systems, between Internet of the things and shared tactical picture and sensory data, and between smart factories and computer in the C4ISR concept. The main motivation of this study is to make a conceptual association between C4ISR and I4.0 technologies and an intelligent analysis and run-time decision making mechanism as an intersection of both technologies is exemplified with a smart war effectiveness analysis system which is designed as an intelligent agent for a land-based air defense system.

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References

  1. Williams A, Scharre PD (2015) Autonomous systems : issues for defence policymakers autonomous systems issues for defence

    Google Scholar 

  2. Tolk A et al (2017) Hybrid simulation for cyber physical systems—a panel on where are we going regarding complexity, intelligence and adaptability of CPS using simulation. In: M&S and complexity in intelligent, adaptive and autonomous systems symposium (MSCIAAS 2018). https://doi.org/10.22360/springsim.2018.msciaas.004

  3. Tolk A, Page EH, Mittal S (2018) Hybrid simulation and cyber physical systems—state of the art and a literature review. In: Annual simulation symposium (ANSS 2018). https://doi.org/10.22360/springsim.2018.anss.019

  4. Industry 4.0. What are we talking about? (2017) Available at: https://www.sew-eurodrive.de/company/your_success/future_trends/industry-40/basics/industry_40/basic_information.html#panel-ef1bb7c7-0d3b-4833-a6bf-d73d352b322f-2

  5. Baheti R, Gill H (2011) ‘Cyber-physical systems’. The impact of control technology, 12, pp 161–166

    Google Scholar 

  6. Andreas T (2015) Modeling and simulation interoperability concepts for multidisciplinarity, interdisciplinarity, and transdisciplinarity—implications for computational intelligence enabling autonomous systems. In: Hodicky J (ed) Modelling and simulation for autonomous systems, second international workshop, MESAS 2015, Prague, Czech Republic, 29–30 Apr 2015, Revised selected papers. Springer International Publishing Switzerland, pp 1–15. https://doi.org/10.1007/978-3-319-22383-4_5

    Chapter  Google Scholar 

  7. Yoon J-S, Shin S-J, Suh S-H (2012) A conceptual framework for the ubiquitous factory. Int J Prod Res 50(8):2174–2189

    Article  Google Scholar 

  8. Constantinescu C et al (2008) ‘Smart factory—a step towards the next generation of manufacturing. In: 41st CIRP conference on manufacturing systems, in manufacturing systems and technologies for the new frontier. Springer, Berlin, pp 115–118

    Google Scholar 

  9. Zuehlke D (2010) SmartFactory—towards a factory-of-things. Ann Rev Control Elsevier 34(1):129–138

    Article  Google Scholar 

  10. Hameed B, Durr F, Rothermel K (2011) RFID based complex event processing in a smart real-time factory. In: Expert discussion: distributed systems in smart spaces

    Google Scholar 

  11. Madu CN et al (1994) Integrating total quality management in the adoption of new technologies. Benchmarking Qual Manage Technol 1(3):52–66

    Article  Google Scholar 

  12. Perme D et al (2005) Integrating air and ground operations within a common battle management language. In: IEEE fall simulation interoperability workshop, Orlando, USA

    Google Scholar 

  13. Sudnikovich W et al (2006) NATO exploratory team—016 integration lessons learned for C2IEDM and C-BML. In: IEEE spring simulation interoperability workshop, San Diego CA, USA

    Google Scholar 

  14. RTO-TR-MSG-048 and Members, M.-048 T. A. P. (no date) Coalition battle management language (C-BML)

    Google Scholar 

  15. Boyd JR (1976) Destruction and creation. A discourse on winning and losing, (September), pp 3–9. https://doi.org/10.1017/cbo9781107415324.004

  16. Galster SM et al (2007) Collaboration technologies for tactical command and control: performance, workload, and situation awareness. In: 2007 international symposium on collaborative technologies and systems, (June), pp xxxiii–xxxiv. https://doi.org/10.1109/cts.2007.4621722

  17. Wang S et al (2015) Towards smart factory for Industry 4.0: A self-organized multi-agent system with big data based feedback and coordination. Comput Netw 101:158–168. https://doi.org/10.1016/j.comnet.2015.12.017

    Article  Google Scholar 

  18. Alberts DS, Huber RK, Moffat J (2010) NATO NEC C2 maturity model

    Google Scholar 

  19. Lee J, Bagheri B, Kao HA (2015) A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufact Lett 3:18–23. https://doi.org/10.1016/j.mfglet.2014.12.001 (Society of Manufacturing Engineers (SME))

    Article  Google Scholar 

  20. Suggs C (2013) Technical framework for cloud computing at the tactical edge

    Google Scholar 

  21. Clausewitz CV (2007) On war. Oxford University Press, Oxford

    Google Scholar 

  22. Clausewitz CV (1942) Principles of war. The Military Service Publishing Company

    Google Scholar 

  23. C4ISR Architectures Working Group (1997) C4ISR architecture framework. Version 2.0, (December), p 239

    Google Scholar 

  24. Lu Y (2017) Industry 4.0: a survey on technologies, applications and open research issues. J Ind Inf Integr 6:1–10

    Google Scholar 

  25. Laeger MW, Sauter T (2017) The future of industrial communication, automation networks in the era of the internet of things and industry 4.0. IEEE industrial electronics magazine, pp 17–27

    Google Scholar 

  26. Bienvenu MP, Shin I, Levis AH (2000) C4ISR architectures: III. An object-oriented approach for architecture design. Syst Eng 3(4):288–312

    Article  Google Scholar 

  27. Balanis CA (2005) Antenna theory: analysis and design. Wiley-Interscience

    Google Scholar 

  28. Bullington K (1977) Radio propagation for vehicular communications. IEEE Trans Veh Technol 26(4):295–308

    Article  Google Scholar 

  29. ITU (2005) Recommendation, Specific attenuation model for rain for use in prediction methods. ITU

    Google Scholar 

  30. Ishimaru A (1978) Wave propagation and scattering in random media, vol 1. Academic Press

    Google Scholar 

  31. Barton DK (2012) Radar equations for modern radar. Artech House

    Google Scholar 

  32. Thames L, Schafer D (2016) Software-defined cloud manufacturing for Industry 4.0. Procedia CIRP 52:12–17

    Article  Google Scholar 

  33. Monostori L et al (2016) Cyber-physical systems in manufacturing. In: CIRP annual manufacturing technology, pp 621–641

    Article  Google Scholar 

  34. Hermann M, Pentek T, Otto B (2016) Design principles for Industrie 4.0 scenarios. In IEEE 49th Hawaii international conference on system sciences (HICSS), pp 3928–3937

    Google Scholar 

  35. Sauter T (2010) The three generations of field-level networks—evolution and compatibility issues. IEEE Trans Ind Electron, 3585–3595

    Article  Google Scholar 

  36. Schlesinger R, Springer A, Sauter T (2016) Automatic packing mechanism for simplification of the scheduling in Profinet IRT. IEEE Trans Ind Informat, 1822–1831

    Article  Google Scholar 

  37. Tramarin F, Vitturi S (2015) Strategies and services for energy efficiency in real-time Ethernet networks. IEEE Trans Ind Informat, pp 841–852

    Article  Google Scholar 

  38. Toscano E, Lo Bello L (2012) Comparative assessments of IEEE 802.15. 4/ZigBee and 6LoWPAN for low-power industrial WSNs in realistic scenarios. In: Proceedings of ninth IEEE international workshop factory communication systems (WFCS), pp 115–124

    Google Scholar 

  39. Tramarin F et al (2016) On the use of IEEE 802.11n for industrial communications. IEEE Trans Ind Informat, 1877–1886

    Article  Google Scholar 

  40. Girs S, Willig A, Uhlemann E, Björkman M (2016) Scheduling for source relaying with packet aggregation in industrial wireless networks. IEEE Trans Ind Informat 12(5)

    Article  Google Scholar 

  41. Vitturi S, Tramarin F, Seno L (2013) Industrial wireless networks: the significance of timeliness in communication systems. IEEE Ind Electron Mag, 40–51

    Article  Google Scholar 

  42. Bratukhin A, Sauter T (2011) Functional analysis of manufacturing execution system distribution. IEEE Trans Ind Informat 7(4):740–749

    Article  Google Scholar 

  43. Zhang Y et al (2017) Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Trans Ind Informat 13(2)

    Article  Google Scholar 

  44. Hayes-Roth B (1995) An architecture for adaptive intelligent systems. Artif Intell: Spec Issue Agents Interactivity 72(1–2):329–365

    Article  Google Scholar 

  45. Suarez FJ, Nuno P, Granda JC, Garcia DF (2015) Computer networks performance modeling and simulation. In: Obaidat P, Nicopolitidis FZ (eds) Modeling and simulation of computer networks and systems. Elsevier, pp 187–223

    Google Scholar 

  46. ‘The Network Simulator—NS-2. (2018, 09 15)’ (2018) Available at: http://www.isi.edu/nsnam/ns/

  47. (2018, 0915). OPNET: https://www.riverbed.com/gb/products/steelcentral/opnet.html

  48. Varga A (1999) The OMNET++ discrete event simulation system. ACM Trans Model Comput Simul 42(4):11. https://doi.org/10.1109/13.804564

    Article  Google Scholar 

  49. Obaidat M, Boudriga NA (2010) Fundamentals of performance evaluation of computer and telecommunication systems. Wiley

    Google Scholar 

  50. Papadimitrioul GI, Sadoun B, Papazoglou C (2003) Fundamentals of system simulation. In: Obaidat MS, Papadimitriou GI (ed) Applied system simulation—methodologies and applications, pp 9–39

    Chapter  Google Scholar 

  51. Kelly FP (1985) Stochastic models of computer communication systems. J R Stat Soc B 47(3):379–395

    MathSciNet  MATH  Google Scholar 

  52. Boel R (1981) Stochastic models of computer networks. Stochastic systems: the mathematics of filtering and identification and applications, pp 141–167

    Chapter  Google Scholar 

  53. Wainer GA (2009) Discrete-event modeling and simulation: a practitioner’s approach. CRC Press

    Google Scholar 

  54. ISO/IEC (1994) Information technology open systems interconnection basic reference model: the basic model

    Google Scholar 

  55. Burbank J, Kasch W, Ward J (2011) An introduction to network modeling and simulation for the practicing engineer. Wiley, New York

    Book  Google Scholar 

  56. Aktas I, King T, Mengi C (2010) Modeling application traffic. In: Wehrle K, Güneş M, Gross içinde J (eds) Modeling and tools for network simulation. Springer, Berlin, pp 397–426

    Chapter  Google Scholar 

  57. Li X, Li D, Wan J, Vasilakos AV, Lai CF, Wang S (2017) A review of industrial wireless networks in the context of Industry 4.0. Wireless Netw 23(1):23–41

    Article  Google Scholar 

  58. Hocaoglu MF (2005) AdSiF : agent driven simulation framework. In: Gauthier JS (ed) Hunstville simulation conference -HSC2005. Huntsvill Alabama

    Google Scholar 

  59. Hocaoğlu MF (2018) AdSiF: agent driven simulation framework paradigm and ontological view. Sci Comput Program 167:70–90. https://doi.org/10.1016/j.scico.2018.07.004

    Article  Google Scholar 

  60. Tolk A (2012) Engineering principles of combat modeling and distributed simulation. Wiley

    Google Scholar 

  61. Anthony S (2012) The solar storm of 2012 that almost sent us back to a post-apocalyptic Stone Age, ExtremeTech. Available at: http://www.extremetech.com/extreme/186805-the-solar-storm-of-2012-that-almost-sent-us-back-to-a-post-apocalyptic-stone-age

  62. Wilson C (2008) High altitude electromagnetic pulse (HEMP) and high power microwave (HPM) devices: threat assessments, library of congress Washington DC Congressional Research Service, ADA529982

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Natural Sciences, İstanbul Medeniyet University, İstanbul, Turkey

    M. Fatih Hocaoğlu & İbrahim Genç

  2. Agena Information and Defense Technologies LLC, 34912, İstanbul, Turkey

    M. Fatih Hocaoğlu & İbrahim Genç

Authors
  1. M. Fatih Hocaoğlu
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  2. İbrahim Genç
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Correspondence to M. Fatih Hocaoğlu .

Editor information

Editors and Affiliations

  1. Barbaros Naval Science and Engineering Institute, National Defense University Tuzla, Istanbul, Turkey

    Murat M. Gunal

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Hocaoğlu, M.F., Genç, İ. (2019). Smart Combat Simulations in Terms of Industry 4.0. In: Gunal, M. (eds) Simulation for Industry 4.0. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-030-04137-3_15

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  • DOI: https://doi.org/10.1007/978-3-030-04137-3_15

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