DOI QR코드

DOI QR Code

Modeling and Analyzing One Vendor-Multiple Retailers VMI SC Using Stackelberg Game Theory

  • Received : 2016.11.09
  • Accepted : 2016.11.29
  • Published : 2016.12.30

Abstract

Game theory is a powerful tool for analyzing the Supply chain (SC) with different conflicting elements. Among them, the Stackelberg game is the one in which a player as leader has more power than the other ones as followers. Since in many SC systems one element has, in essence, more power than the others; the Stackelberg game has found many applications in SC studies. In this paper, we apply the Stackelberg game-theoretic approach and the corresponding equilibrium point to formulate and analyze a two echelon VMI SC. Comprehensive computational results on an experimental case are conducted to numerically analyze the performance of VMI system against three groups of critical parameters. Moreover, a critical comparison demonstrates the poorer performance of decentralized VMI system than centralized one. This naturally necessitates designing proper contracts between VMI partners in order to more effectively implement the realistic decentralized system.

Keywords

References

  1. Almehdawe, E. and Mantin, B. (2010), Vendor Managed inventory with capacitated manufacturer and multiple retailers: Retailer versus manufacturer leadership, Internatinal Journal of Production Economics, 128, 292-302. https://doi.org/10.1016/j.ijpe.2010.07.029
  2. Bichescu, B. C. and Fry, M. J. (2009), A numerical analysis of SC performance under split decision rights, Omega, 37, 358-379. https://doi.org/10.1016/j.omega.2007.04.001
  3. Cachon, P. G. and Netessine, S. (2003), Game Theory in SC Analysis, Handbook of SC Analysis in the eBusiness Era. Kluwer Academic Publisher, USA.
  4. Challener, C. (2000), Tacking the VMI step to collaborative commerce, Chemical market Reporter, 258, 11-12.
  5. Darvish, M. A. and Odah, O. M. (2010), Vendor managed inventory for single-vendor multi retailer supply chians, European Journal of Operationl Research, 204, 473-484. https://doi.org/10.1016/j.ejor.2009.11.023
  6. Fiestras, M. G., Garcia-Jurado, I., Meca, A., and Mosquera, M. A. (2010), Cooperative game theory and inventory management, European Journal of Operational Research, 210, 459-466.
  7. Guan, R. and Zhao, X. (2010), On contract for VMI program with continuous review (r, Q) policy, European Journal of Operational Research, 207, 656-667. https://doi.org/10.1016/j.ejor.2010.04.037
  8. Kim, B. and Park, C. (2010), Coordinating decisions by SC partners in a vendor-managed inventory relationship, Journal of Manufacturing systems, 29, 71-80. https://doi.org/10.1016/j.jmsy.2010.09.002
  9. Lau, A., Lau, H., and Zhou, Y. (2007), A stochastic and asymmetric-information framework for a dominant-manufacturer SC, European Journal of Operational Research, 176, 295-316. https://doi.org/10.1016/j.ejor.2005.06.054
  10. Li, X. and Wang, Q. (2007), Coordination mechanisms of SC systems, European Journal of Operational Research, 179, 1-16. https://doi.org/10.1016/j.ejor.2006.06.023
  11. Lin, Z., Cai, C., and Xu, B. (2010), SC coordination with insurance contract, European Journal of Operational Research, 205, 339-345. https://doi.org/10.1016/j.ejor.2010.01.013
  12. Nagarajan, M. and Sosic, G. (2008), Game-theoretic analysis of cooperation among SC agents: Review and extensions, European Journal of Operational Research, 187, 719-745. https://doi.org/10.1016/j.ejor.2006.05.045
  13. Ortmeyer, R. D. and Buzzell, G. (1995), Channel partnerships streamline distribution, Sloan Management Review, 36, 85.
  14. Shah, B. J. (2002), ST, HP VMI program hitting its stride, Electronics Business News, 1309, 42-43.
  15. Su, C.-T. and Shi, C.-S. (2002), A manufacturer's optimal quantity discout strategy and return policy through game-theoretic approach, Journal of the Operational Research Socity, 53, 922-926. https://doi.org/10.1057/palgrave.jors.2601325
  16. Tyan, J. and Wee, H. M. (2003), Vendor managed inventory: a survey of the Taiwanes grocery industry, Journal of Purchasing and Supply Management, 9, 11-18. https://doi.org/10.1016/S0969-7012(02)00032-1
  17. Wei, Y. and Choi, T. M. (2010). Mean-variance analysis of SCs under wholesale pricing and profit sharing schemes, European Journal of Operational Research, 204, 255-262. https://doi.org/10.1016/j.ejor.2009.10.016
  18. Yang, D., Jiao, J., Ji, Y., Du, G., Helo, P., and Valente, A. (2015), Joint optimization for coordinated configuration of product families and supply chains by a leader-follower Stackelberg game, European Journal of Operational Research, 246, 263-280 https://doi.org/10.1016/j.ejor.2015.04.022
  19. Yu, H., Zeng, A. Z., and Zhao, L. (2009), Analyzing the evolutionary stability of the vendor-managed inventory SCs, Computers and industrial Engineering, 56, 274-282. https://doi.org/10.1016/j.cie.2008.05.016
  20. Yu, Y., Chu, F., and Chen, H. (2009a), A stackelberg game and its improvment in a VMI system with a manufacturing vendor, European Journal of Operational Research, 192, 929-948. https://doi.org/10.1016/j.ejor.2007.10.016
  21. Yu, Y., Huang, G. Q., and Liang, L. (2009b), Stackelberg game-theoretic model for optimizing advertising, pricing and inventory policies in vendor managed inventory (VMI) production SCs, Computers and Industrial Engineering, 57, 368-382. https://doi.org/10.1016/j.cie.2008.12.003
  22. Yu, Y. and Huang, Q. G. (2010), Nash game model for optimizing market strategies, configuration of platform products in a Vendor Managed Inventory (VMI) SC for product family, European Journal of Operational Research, 206, 361-373. https://doi.org/10.1016/j.ejor.2010.02.039

Cited by

  1. A distribution free newsvendor model with consignment policy and retailer’s royalty reduction vol.56, pp.15, 2018, https://doi.org/10.1080/00207543.2017.1399220