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The Quantity Flexibility Contract and Supplier-Customer Incentives

Author

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  • Andy A. Tsay

    (Department of Operations & Management Information Systems, Leavey School of Business, Santa Clara University, Santa Clara, California 95053-0382)

Abstract

Consider a supply chain consisting of two independent agents, a supplier (e.g., a manufacturer) and its customer (e.g., a retailer), the latter in turn serving an uncertain market demand. To reconcile manufacturing/procurement time lags with a need for timely response to the market, such supply chains often must commit resources to production quantities based on forecasted rather than realized demand. The customer typically provides a planning forecast of its intended purchase, which does not entail commitment. Benefiting from overproduction while not bearing the immediate costs, the customer has incentive to initially overforecast before eventually purchasing a lesser quantity. The supplier must in turn anticipate such behavior in its production quantity decision. This individually rational behavior results in an inefficient supply chain. This paper models the incentives of the two parties, identifying causes of inefficiency and suggesting remedies. Particular attention is given to the Quantity Flexibility (QF) contract, which couples the customer's commitment to purchase no less than a certain percentage below the forecast with the supplier's guarantee to deliver up to a certain percentage above. Under certain conditions, this method can allocate the costs of market demand uncertainty so as to lead the individually motivated supplier and customer to the systemwide optimal outcome. We characterize the implications of QF contracts for the behavior and performance of both parties, and the supply chain as a whole.

Suggested Citation

  • Andy A. Tsay, 1999. "The Quantity Flexibility Contract and Supplier-Customer Incentives," Management Science, INFORMS, vol. 45(10), pages 1339-1358, October.
  • Handle: RePEc:inm:ormnsc:v:45:y:1999:i:10:p:1339-1358
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    File URL: http://dx.doi.org/10.1287/mnsc.45.10.1339
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    References listed on IDEAS

    as
    1. Kandel, Eugene, 1996. "The Right to Return," Journal of Law and Economics, University of Chicago Press, vol. 39(1), pages 329-356, April.
    2. Gary D. Eppen & Ananth. V. Iyer, 1997. "Backup Agreements in Fashion Buying---The Value of Upstream Flexibility," Management Science, INFORMS, vol. 43(11), pages 1469-1484, November.
    3. G.F. Mathewson & R.A. Winter, 1984. "An Economic Theory of Vertical Restraints," RAND Journal of Economics, The RAND Corporation, vol. 15(1), pages 27-38, Spring.
    4. Andrew J. Clark & Herbert Scarf, 2004. "Optimal Policies for a Multi-Echelon Inventory Problem," Management Science, INFORMS, vol. 50(12_supple), pages 1782-1790, December.
    5. van Ackere, Ann, 1993. "The principal/agent paradigm: Its relevance to various functional fields," European Journal of Operational Research, Elsevier, vol. 70(1), pages 83-103, October.
    6. Masten, Scott E & Crocker, Keith J, 1985. "Efficient Adaptation in Long-term Contracts: Take-or-Pay Provisions for Natural Gas," American Economic Review, American Economic Association, vol. 75(5), pages 1083-1093, December.
    7. Hamilton Emmons & Stephen M. Gilbert, 1998. "Note. The Role of Returns Policies in Pricing and Inventory Decisions for Catalogue Goods," Management Science, INFORMS, vol. 44(2), pages 276-283, February.
    8. K. Sridhar Moorthy, 1987. "Comment—Managing Channel Profits: Comment," Marketing Science, INFORMS, vol. 6(4), pages 375-379.
    9. Crocker, Keith J & Masten, Scott E, 1991. "Pretia ex Machina? Prices and Process in Long-Term Contracts," Journal of Law and Economics, University of Chicago Press, vol. 34(1), pages 69-99, April.
    10. Barry Alan Pasternack, 1985. "Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 4(2), pages 166-176.
    11. R. Schmalensee & R. Willig (ed.), 1989. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 2, number 2.
    12. Ananth. V. Iyer & Mark E. Bergen, 1997. "Quick Response in Manufacturer-Retailer Channels," Management Science, INFORMS, vol. 43(4), pages 559-570, April.
    13. R. Schmalensee & R. Willig (ed.), 1989. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 1, number 1.
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