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Supply Chain Decision Making: Will Shorter Cycle Times and Shared Point-of-Sale Information Necessarily Help?

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Listed:
  • Joel H. Steckel

    (Stern School of Business, New York University, New York, New York 10012)

  • Sunil Gupta

    (Thinktodo, LLC, and David Shepard Associates)

  • Anirvan Banerji

    (Economic Cycle Research Institute, 420 Lexington Avenue, Suite 1645, New York, New York 10170)

Abstract

Using a simulated supply chain experiment based on the well-known "beer game," we examine how changes in order and delivery cycles, availability of shared point-of-sale (POS) information, and the pattern of customer demand affect supply chain efficiency. We find that speeding up cycle time is beneficial, but the sharing of POS information is not necessarily so. Whether or not the sharing of POS information is beneficial depends on the nature of the demand pattern represented by the POS information. If the demand pattern conveys continual change in ultimate downstream customer demand (as does an S-shaped demand pattern), the POS information can distract the upstream decision maker from what is perhaps more immediately relevant information, orders placed by the proximate downstream agent and the supply line.

Suggested Citation

  • Joel H. Steckel & Sunil Gupta & Anirvan Banerji, 2004. "Supply Chain Decision Making: Will Shorter Cycle Times and Shared Point-of-Sale Information Necessarily Help?," Management Science, INFORMS, vol. 50(4), pages 458-464, April.
    • Handle: RePEc:inm:ormnsc:v:50:y:2004:i:4:p:458-464
    DOI: 10.1287/mnsc.1030.0169
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    References listed on IDEAS

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    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. Hau L. Lee, Seungjin Whang, 2000. "Information sharing in a supply chain," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 1(1), pages 79-93.
    3. Dan M. Bechter & Stephen Stanley, 1992. "Evidence of improved inventory control," Economic Review, Federal Reserve Bank of Richmond, vol. 78(Jan), pages 3-12.
    4. Rashi Glazer & Joel H. Steckel & Russell S. Winer, 1992. "Locally Rational Decision Making: The Distracting Effect of Information on Managerial Performance," Management Science, INFORMS, vol. 38(2), pages 212-226, February.
    5. Rachel Croson & Karen Donohue, 2002. "Experimental Economics and Supply-Chain Management," Interfaces, INFORMS, vol. 32(5), pages 74-82, October.
    6. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
    7. Fangruo Chen, 1999. "Decentralized Supply Chains Subject to Information Delays," Management Science, INFORMS, vol. 45(8), pages 1076-1090, August.
    8. Srinivasan Raghunathan, 2001. "Information Sharing in a Supply Chain: A Note on its Value when Demand Is Nonstationary," Management Science, INFORMS, vol. 47(4), pages 605-610, April.
    9. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    10. 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.
    11. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
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