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The Inventory Benefit of Shipment Coordination and Stock Rebalancing in a Supply Chain

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  • Ki Ling Cheung

    (Department of Information and Systems Management, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong)

  • Hau L. Lee

    (Graduate School of Business and School of Engineering, Stanford University, Stanford, California 94305)

Abstract

In this paper, we examine two information-based supply-chain efforts that are often linked to Vendor-Managed Inventory (VMI) programs. Specifically, we consider a supplier serving multiple retailers located in a close proximity. The first effort uses information on the retailers' inventory positions to coordinate shipments from the supplier to enjoy economies of scale in shipments, such as full truckloads.The second effort uses the same information for eventual unloading of the shipments to the retailers to rebalance their stocking positions. How much benefit do we gain from such initiatives? What are the relative benefits of the two initiatives? What are the drivers of such benefits? This paper seeks answers to these questions.

Suggested Citation

  • Ki Ling Cheung & Hau L. Lee, 2002. "The Inventory Benefit of Shipment Coordination and Stock Rebalancing in a Supply Chain," Management Science, INFORMS, vol. 48(2), pages 300-306, February.
    • Handle: RePEc:inm:ormnsc:v:48:y:2002:i:2:p:300-306
    DOI: 10.1287/mnsc.48.2.300.251
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    References listed on IDEAS

    as
    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Ashok Kumar & Leroy B. Schwarz & James E. Ward, 1995. "Risk-Pooling Along a Fixed Delivery Route Using a Dynamic Inventory-Allocation Policy," Management Science, INFORMS, vol. 41(2), pages 344-362, February.
    3. Sila Çetinkaya & Chung-Yee Lee, 2000. "Stock Replenishment and Shipment Scheduling for Vendor-Managed Inventory Systems," Management Science, INFORMS, vol. 46(2), pages 217-232, February.
    4. A. Federgruen & H. Groenevelt & H. C. Tijms, 1984. "Coordinated Replenishments in a Multi-Item Inventory System with Compound Poisson Demands," Management Science, INFORMS, vol. 30(3), pages 344-357, March.
    5. Sven Axsäter, 1993. "Exact and Approximate Evaluation of Batch-Ordering Policies for Two-Level Inventory Systems," Operations Research, INFORMS, vol. 41(4), pages 777-785, August.
    6. Martin I. Reiman & Rodrigo Rubio & Lawrence M. Wein, 1999. "Heavy Traffic Analysis of the Dynamic Stochastic Inventory-Routing Problem," Transportation Science, INFORMS, vol. 33(4), pages 361-380, November.
    7. B. D. Sivazlian, 1974. "A Continous-Review ( s , S ) Inventory System with Arbitrary Interarrival Distribution between Unit Demand," Operations Research, INFORMS, vol. 22(1), pages 65-71, February.
    8. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    9. Derek R. Atkins & Paul O. Iyogun, 1988. "Periodic Versus "Can-Order" Policies for Coordinated Multi-Item Inventory Systems," Management Science, INFORMS, vol. 34(6), pages 791-796, June.
    10. S. Viswanathan, 1997. "Note. Periodic Review (s, S) Policies for Joint Replenishment Inventory Systems," Management Science, INFORMS, vol. 43(10), pages 1447-1454, October.
    11. Fangruo Chen & Yu-Sheng Zheng, 1994. "Evaluating Echelon Stock (R, nQ) Policies in Serial Production/Inventory Systems with Stochastic Demand," Management Science, INFORMS, vol. 40(10), pages 1262-1275, October.
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