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Supply chain coordination with demand disruptions

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  • Qi, Xiangtong
  • Bard, Jonathan F.
  • Yu, Gang

Abstract

The purpose of this paper is to investigate an one-supplier-one-retailer supply chain that experiences a disruption in demand during the planning horizon. While demand uncertainty has long been a central research issue in supply chain management, little attention has been given to disruptions once the production plan has been made. In this paper, we show that changes to the original plan induced by a disruption may impose considerable deviation costs throughout the system. One of our general goals is to analyze these costs. When the production plan and the supply chain coordination scheme are designed in a static manner, as is most often the case, both will have to be adjusted under a disruption scenario. Using wholesale quantity discount policies, we derive conditions under which the supply chain can be coordinated so that the maximum potential profit is realized. Our results are applicable for both centralized and decentralized decision-making.

Suggested Citation

  • Qi, Xiangtong & Bard, Jonathan F. & Yu, Gang, 2004. "Supply chain coordination with demand disruptions," Omega, Elsevier, vol. 32(4), pages 301-312, August.
    • Handle: RePEc:eee:jomega:v:32:y:2004:i:4:p:301-312
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    References listed on IDEAS

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    1. Kevin Weng, Z., 1995. "Modeling quantity discounts under general price-sensitive demand functions: Optimal policies and relationships," European Journal of Operational Research, Elsevier, vol. 86(2), pages 300-314, October.
    2. Abel P. Jeuland & Steven M. Shugan, 1983. "Managing Channel Profits," Marketing Science, INFORMS, vol. 2(3), pages 239-272.
    3. Williams, Terry & Ackermann, Fran & Eden, Colin, 2003. "Structuring a delay and disruption claim: An application of cause-mapping and system dynamics," European Journal of Operational Research, Elsevier, vol. 148(1), pages 192-204, July.
    4. K. Sridhar Moorthy, 1987. "Comment—Managing Channel Profits: Comment," Marketing Science, INFORMS, vol. 6(4), pages 375-379.
    5. Fangruo Chen & Awi Federgruen & Yu-Sheng Zheng, 2001. "Coordination Mechanisms for a Distribution System with One Supplier and Multiple Retailers," Management Science, INFORMS, vol. 47(5), pages 693-708, May.
    6. Fangruo Chen, 1998. "Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information," Management Science, INFORMS, vol. 44(12-Part-2), pages 221-234, December.
    7. Lau, Hon-Shiang & Lau, Amy Hing-Ling, 1999. "Manufacturer's pricing strategy and return policy for a single-period commodity," European Journal of Operational Research, Elsevier, vol. 116(2), pages 291-304, July.
    8. Z. Kevin Weng, 1995. "Channel Coordination and Quantity Discounts," Management Science, INFORMS, vol. 41(9), pages 1509-1522, September.
    9. Hau L. Lee & Meir J. Rosenblatt, 1986. "A Generalized Quantity Discount Pricing Model to Increase Supplier's Profits," Management Science, INFORMS, vol. 32(9), pages 1177-1185, September.
    10. Boyaci, Tamer & Gallego, Guillermo, 2002. "Coordinating pricing and inventory replenishment policies for one wholesaler and one or more geographically dispersed retailers," International Journal of Production Economics, Elsevier, vol. 77(2), pages 95-111, May.
    11. Andy A. Tsay, 1999. "The Quantity Flexibility Contract and Supplier-Customer Incentives," Management Science, INFORMS, vol. 45(10), pages 1339-1358, October.
    12. Z. Kevin Weng & Amy Zeng, 2001. "The Role of Quantity Discounts in the Presence of Heterogeneous Buyers," Annals of Operations Research, Springer, vol. 107(1), pages 369-383, October.
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