Abstract
Firms are under the pressure to explore various strategies to improve the supply network performance so that customers’ demands can be met more responsively. Many of the challenges fromimplementing the strategies lie in the distributed and dynamic nature of the network where geographically dispersed entities may have different goals and objectives. Additionally, irregularities and disruptions occurring at any point in the network may propagate through the network and amplify the negative impact. These disruptions, often occurring without warning due to the dynamic nature of a supply network, can lead to poor performance of the supply network. A key component in responsive supply network management is to proactively assess the robustness and resilience to disruption of a supply network.Discrete Event Simulation (DES) can achieve this. In this chapter, we introduce a simulation tool developed by IBM China Research Lab, named General Business Simulation Environment (GBSE). It can capture supply network dynamics with a fine level of granularity and provide useful insights to supply network’s real operations. GBSE is designed for tactical-level decision making, and may be useful for supply network what-if analysis and risk analysis. The architecture of GBSE is detailed in this chapter followed by several scenarios in an automobile supply network to demonstrate the applicability of GBSE to assess the responsiveness of a supply network.
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References
B.P. Gan, L. Liu, S. Jain, S.J. Turner, W. Cai, and W.J. Hsu. “Distributed supply chain simulation across enterprise boundaries”. Proceedings of the 2000 Winter Simulation Conference, ed. by J.A. Joines, R.R. Barton, K. Kang, and P.A. Fishwick, 1245–1251. 2000
C.F. Sabel, , H. Kern, and G. Herrigel. Collaborative manufacturing: New supplier relations in the automobile industry and the redefinition of the industrial corporation. IMVP International Policy Forum, MIT, Cambridge, MA. 1989
J. Dong, H. Ding, C. Ren, and W. Wang. IBM SmartSCOR – A SCOR Based Supply Chain Transfor-mation Platform, Proceedings of Winter Simulation Conference, 2006
G. Archibald, N. Karabakal, and P. Karlsson. “Supply chain vs. supply chain: Using simulation to compete beyond the four walls”, Proceedings of the 1999 Winter Simulation Conference, ed. by Farrington, H.B. Nembhard, D.T. Sturrock, and G.W. Evans, 888–896. 1999
J. Banks, J.S. Carson, B.L. Nelson, and D.M. Nicol. Discrete-event Simulation, Prentice-Hall, Upper Saddle River, NJ, New Jersey: Prentice-Hall, Inc. 2005
J.M. Swaminathan, S.F. Smith, and N.M. Sadeh. Modeling Supply Chain Dynamics: A Multiagent Approach, Decision Sciences. 1998
J. Venkateswaran, Y.-J. Son, and B. Kulvatunyou. “Investigation of influence of modeling fidelities on supply chain dynamics”. Proceedings of the 2002 Winter Simulation Conference, ed. by E. Yücesan, C.-H. Chen, J.L. Snowdon, and J.M. Charnes, 1183–1191. 2002
J. Blackhurst, T. Wu, and P. O’Grady, “Network-based approach to modeling uncertainty in a supply chain”, International Journal of Production Research, 42(8):1639–1658. 2004
J.P.C. Kleijnen, Supply Chain Simulation: A Survey, International Journal of Simulation and Process Modeling, 2003
L. Chwif, M.R.P. Barretto, and E. Saliby. “Supply chain analysis: Spreadsheet or simulation?” Proceedings of the 2002 Winter Simulation Conference, ed. by E. Yücesan, C.-H. Chen, J.L. Snowdon, and J.M. Charnes, 59–66. 2002
J. Liu, W. Wang, Y. Chai, Y. Liu. “Easy-SC: A Supply Chain Simulation Tool”, Proceedings of Winter Simulation Conference, 2004
M. Hennessee. “Challenges facing global supply chains in the 21st century”, Proceedings of the 1998 Winter Simulation Conference, ed. by D.J. Medeiros, E.F. Watson, J.S. Carson, and M.S. Manivannan, 3–4. 1998
P. Lendermann, N. Julka, B.P. Gan, D. Chen, L.F. McGinnis, and J.P. McGinnis. “Distributed supply chain simulation as a decision-support tool for the semiconductor industry”, Simulation, 79(3):126–138. 2003
Repast, available via http://repast.sourceforge.net/, 2008
M.D. Rossetti and H.T. Chan. “A Prototype Object-Oriented Supply Chain Simulation Framework”, Proceedings of Winter Simulation Conference, 2003
M.D. Rossetti, M. Miman, V. Varghese, and Y. Xiang. “An Object-Oriented Framework for Simulating Multi-echelon Inventory Systems”, Proceedings of Winter Simulation Conference, 2006
S. Bagchi, S.J. Buckley, M. Ettl, and G.Y. Lin. “Experience using the IBM supply chain simulator”, Proceedings of the 1998 Winter Simulation Conference, ed. by D.J. Medeiros, E.F. Watson, J.S. Carson, and M.S. Manivannan, 1387–1394. 1998
S. Jain, C.C. Lim, B.P. Gan, and Y.H. Low. “Criticality of detailed modeling in semiconductor supply chain simulation”, Proceedings of the 1999 Winter Simulation Conference, ed. by P.A. Farrington, H.B. Nembhard, D.T. Sturrock, and G.W. Evans, 888–896. 1999
S. Jain, E.C. Ervin, A.P. Lathrop, R.W. Workman, L.M. Collins. “Analyzing the supply chain for a large logistics operation using simulation”. Proceedings of the 2001 Winter Simulation Conference, ed. by B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, 1123–1128. 2001
S. Jain, N.F. Choong, and W. Lee. “Modeling computer assembly operations for supply chain integration”, Proceedings of the 2002 Winter Simulation Conference, ed. by E. Yücesan, C.-H. Chen, J.L. Snowdon, and J.M. Charnes, 1165–1173. 2002
S.T. Enns, and P. Suwanruji. “A simulation test bed for production and supply chain modeling”, Proceedings of the 2003 Winter Simulation Conference, ed. by S. Chick, P.J. Sánchez, D. Ferrin, and D.J. Morrice, 1174–1182. IEEE. 2003
Scalable Simulation Framework (SSF), available via http://www.ssfnet.org/homePage.html, 2008
Supply Chain Guru, available via http://www.llamasoft.com/, 2008
T. Wu, P. O’Grady, “A Methodology for Improving the Design of a Supply Chain”, International Journal of Computer Integrated Manufacturing, 17(4):281–293, 2004
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Dong, J., Wang, W., Wu, T. (2009). A Generalized Simulation Framework for Responsive Supply Network Management. In: Wu, T., Blackhurst, J. (eds) Managing Supply Chain Risk and Vulnerability. Springer, London. https://doi.org/10.1007/978-1-84882-634-2_5
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DOI: https://doi.org/10.1007/978-1-84882-634-2_5
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