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Agent Based Modeling and Simulation of Structural Hole Based Order Allocation Strategy

구조적 공백 기반 주문 분배 전략의 에이전트 기반 모델링 및 시뮬레이션

  • Received : 2011.11.15
  • Accepted : 2012.03.02
  • Published : 2012.03.31

Abstract

Order allocation is one of the most important decision-making problems of firms having significant influences on performances of themselves and the whole supply chain. Existing researches about order allocation have mainly focused on evaluating capabilities of directly connected suppliers so that it is hard to consider effects and interactions from undirected connections over multiple lower-layers. To alleviate the limitation, this paper proposed a novel approach to order allocation using structural hole. By applying the concept of structural hole to the supply network, we could evaluate the structural supplying powers of firms with respect to both of direct and indirect connections. In the proposed approach, we derived a methodology to measure the potential supplying power of each firm by modifying the effective size as one of the measurements of structural hole and then, proposed its application, the structural hole based order allocation strategy. Furthermore, we conducted the agent based modeling of supply chain to perform the decision-making process of order allocation and simulated the proposed strategy. As a results, by coping with the variance of demand more stably, it could improve the performance of supply chain from the aspects of fill rate, inventory level and demand-supply balance.

Keywords

References

  1. 김대영, 강복영, 강석호, "공급사슬 관리에서의 주문 분배 전략:구조적 공백 기반 분배 전략의 제안과 에이전트 기반 공급사슬 시뮬레이션을 이용한 평가", 2011 한국경영과학회 추계학술대회논문집, pp.1-14.
  2. Akanle, O.M. and D.Z. Zhang, "Agent-based model for optimising supply-chain configurations," International Journal of Production Economics, Vol.115, No.2(2008), pp.444-460. https://doi.org/10.1016/j.ijpe.2008.02.019
  3. Amin, S.H., J. Razmi, and G. Zhang, "Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming," Expert Systems with Applications, Vol.38, No.1(2011), pp.334-342. https://doi.org/10.1016/j.eswa.2010.06.071
  4. Azadeh, A., M.H. Khakbaz, and M. Jafari Songhori, "An integrated framework for supplier evaluation and order allocation in a non-crisp environment," International Journal of Logistics Systems and Management, Vol.6, No.1(2010), pp.76-98. https://doi.org/10.1504/IJLSM.2010.029722
  5. Borgatti, S.P. and X. Li, "On Social Network Analysis in a supply chain context," Journal of Supply chain Management, Vol.45, No.2 (2009), pp.5-22. https://doi.org/10.1111/j.1745-493X.2009.03166.x
  6. Burt, R.S., Structural Holes:The Social Structure of Competition, Harvard University Press, Cambridge MA, 1992.
  7. Chan, F.T.S., S.H. Chung, and S. Wadhwa, "A heuristic methodology for order distribution in a demand driven collaborative supply chain," International Journal of Production Research, Vol.42, No.1(2004), pp.1-19. https://doi.org/10.1080/0020754031000103293
  8. Chan, F.T.S., S.H. Chung, and K.L. Choy, "Optimization of order fulfillment in distribution network problems," Journal of Intelligent Manufacturing, Vol.17, No.3(2006), pp. 307-319. https://doi.org/10.1007/s10845-005-0003-z
  9. Chen, Y., "Structured methodology for supplier selection and evaluation in a supply chain," Information Science, Vol.181, No.9 (2011), pp.1651-1670. https://doi.org/10.1016/j.ins.2010.07.026
  10. Demirtas E.A. and O. Ustun, "An integrated multiobjective decision making process for supplier selection and order allocation," Omega, Vol.36, No.1(2008), pp.76-90. https://doi.org/10.1016/j.omega.2005.11.003
  11. Faez, F., S.H. Ghodsypour, and C. O'Brien, "Vendor selection and order allocation using an integrated fuzzy case-based reasoning and mathematical programming model," International Journal of Production Economics, Vol.121, No.2(2009), pp.395-408. https://doi.org/10.1016/j.ijpe.2006.11.022
  12. Forget, P., S. D'Amous, J.M. Frayret, and J. Gaudreault, "Study of the performance of multi-behaviour agents for supply chain planning," Computers in Industry, Vol.60, No.9(2009), pp.698-708. https://doi.org/10.1016/j.compind.2009.05.005
  13. Greening, P. and C. Rutherford, "Disruptions and supply networks:a multi-level, multitheoretical relational perspective," The International Journal of Logistics Management, Vol.22, No.1(2011), pp.104-126. https://doi.org/10.1108/09574091111127570
  14. Ivanov, D., B. Sokolov, and J. Kaeschel, "A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations," European Journal of Operational Research, Vol.200, No.2(2010), pp.409-420. https://doi.org/10.1016/j.ejor.2009.01.002
  15. Jiang, G., B. Hu, and Y. Wang, "Agent-based simulation of competitive and collaborative mechanisms for mobile service chains," Information Science, Vol.180, No.2(2010), pp. 225-240. https://doi.org/10.1016/j.ins.2009.09.014
  16. Jiao, J.R., X. You, and A. Kumar, "An agent-based framework for collaborative negotiation in the global manufacturing supply chain," Robotics and Computers-Integrated Manufacturing, Vol.22, No.3(2006), pp.239-255. https://doi.org/10.1016/j.rcim.2005.04.003
  17. Jose, M.C. and Z. Liu, "Modeling and analysis of the multiperiod effects of social relationship on supply chain networks," European Journal of Operational Research, Vol. 214, No.1(2011), pp.39-52. https://doi.org/10.1016/j.ejor.2011.03.044
  18. Kawtummachai, R. and N. Van Hop, "Order allocation in a multiple-supplier environment," International Journal of Production economics, Vol.93-94(2005), pp.231-238. https://doi.org/10.1016/j.ijpe.2004.06.022
  19. Kim, W., "Effect of a Trust mechanism on complex adaptive supply networks:an agentbased social simulation study," Journal of artificial societies and social simulation, Vol.12, No.3(2009), p.4.
  20. Kim, Y., T. Y. Choi, T. Yan, and K. Dooley, "Structural investigation of supply networks :A social network analysis approach," Journal of Operations Management, Vol.29, No.3 (2011), pp.194-211. https://doi.org/10.1016/j.jom.2010.11.001
  21. Lee, J.H. and C.O. Kim, "Multi-agent systems applications in manufacturing systems and supply chain management:a review paper," International Journal of Production Research, Vol.46, No.1(2008), pp.233-265. https://doi.org/10.1080/00207540701441921
  22. Lin, C.H., K.L. Hsieh, J. Roan, and C.H. Kao, "The Application of Structural Holes Theory to Supply Chain Network Information Flow Analysis," Information Technology Journal, Vol.10, No.1(2011), pp.146-151. https://doi.org/10.3923/itj.2011.146.151
  23. Liu, W., X. Xu, Z. Ren, and P. Yan, "An emergency order allocation model based on multi-provider in two-echelon logistics service supply chain," Supply chain management: an international journal, Vol.16, No.6 (2011), pp.391-400. https://doi.org/10.1108/13598541111171101
  24. Mafakheri, F., M., Breton, and A., Ghoniem, "Supplier seletion-order allocation:A twostage multiple criteria dynamic programming approach," International Journal of Production Economics, Vol.132, No.1(2011), pp.52-57. https://doi.org/10.1016/j.ijpe.2011.03.005
  25. Rodan, S. and C. Galunic, "More than network structure:how knowledge heterogeneity influences managerial performance and innovativeness," Strategic Management Journal, Vol.25, No.6(2004), pp.541-556. https://doi.org/10.1002/smj.398
  26. Rodan, S., "Structural holes and managerial performance:identifying the underlying mechanisms," Social Networks, Vol.32, No.3 (2010), pp.168-179. https://doi.org/10.1016/j.socnet.2009.11.002
  27. Tan, C.K., "A framework of supply chain management literature," European Journal of Purchasing supply management, Vol.7, No.1(2001), pp.39-48. https://doi.org/10.1016/S0969-7012(00)00020-4
  28. Wangphanich, P., S. Kara, and B. Kayis, "Analysis of the bullwhip effect in multiproduct, multistage supply chain systems:a simulation approach," International Journal of Production Research, Vol.48, No.15/16 (2010), pp.4501-4517. https://doi.org/10.1080/00207540902950852
  29. Xia, W. and Z. Wur, "Supplier selection with multiple criteria in volume discount environments," Omega, Vol.35, No.5(2007), pp.494-504. https://doi.org/10.1016/j.omega.2005.09.002
  30. Yucel, A. and A.F., Guneri, "A weighted additive fuzzy programming approach for multi-criteria supplier selection," Expert Systems with Applications, Vol.38, No.5(2011), pp.6281-6286. https://doi.org/10.1016/j.eswa.2010.11.086
  31. Zaheer, A. and G. G. Bell, "Benefiting from network position:firm capabilities, structural holes and performance," Strategic Management Journal, Vol.26, No.9(2005), pp. 809-825. https://doi.org/10.1002/smj.482