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Flexible and Risk-Sharing Supply Contracts Under Price Uncertainty

Author

Listed:
  • Chung-Lun Li

    (John M. Olin School of Business, Washington University, St. Louis, Missouri 63130)

  • Panos Kouvelis

    (John M. Olin School of Business, Washington University, St. Louis, Missouri 63130)

Abstract

We study supply contracts for deterministic demand but in an environment of uncertain prices. We develop valuation methodologies for different types of supply contracts. A "time-inflexible contract" requires the firm to specify not only how many units it will purchase, but also the timing of the purchase. A "time-flexible contract" allows the firm to specify the purchase amount over a given period of time without specifying the exact time of purchase. Other than time flexibility, the suppliers may offer "quantity flexibility" to the firm as well, i.e., purchase quantities could be within a prespecified quantity window. Finally, "risk-sharing" features can be incorporated in the contract in terms of the purchase price that the firm eventually pays to a supplier. Within a prespecified price window the firm pays the realized price, but outside of it the firm shares, in an agreed way, added costs or benefits. Given the structure of a supply contract, we study the firm's decision when to purchase and how many units in each purchase such that the expected net present value of the purchase cost plus inventory holding cost is minimized. We discuss optimal purchasing strategies for both time-flexible and time-inflexible contracts with risk-sharing features. Other interesting results include the analysis of two-supplier sourcing environments and the exploitation of quantity flexibility in such contracts. Our discussion illustrates how time flexibility, quantity flexibility, supplier selection, and risk sharing, when carefully exercised can effectively reduce the sourcing cost in environments of price uncertainty.

Suggested Citation

  • Chung-Lun Li & Panos Kouvelis, 1999. "Flexible and Risk-Sharing Supply Contracts Under Price Uncertainty," Management Science, INFORMS, vol. 45(10), pages 1378-1398, October.
    • Handle: RePEc:inm:ormnsc:v:45:y:1999:i:10:p:1378-1398
    DOI: 10.1287/mnsc.45.10.1378
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    References listed on IDEAS

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    1. João L. Assunção & Robert J. Meyer, 1993. "The Rational Effect of Price Promotions on Sales and Consumption," Management Science, INFORMS, vol. 39(5), pages 517-535, May.
    2. Davis, Edward W., 1992. "Global outsourcing: Have U.S. managers thrown the baby out with the bath water?," Business Horizons, Elsevier, vol. 35(4), pages 58-65.
    3. Boyle, Phelim P & Evnine, Jeremy & Gibbs, Stephen, 1989. "Numerical Evaluation of Multivariate Contingent Claims," Review of Financial Studies, Society for Financial Studies, vol. 2(2), pages 241-250.
    4. Telser, Lester G, 1981. "Why There Are Organized Futures Markets," Journal of Law and Economics, University of Chicago Press, vol. 24(1), pages 1-22, April.
    5. Nelson, Daniel B & Ramaswamy, Krishna, 1990. "Simple Binomial Processes as Diffusion Approximations in Financial Models," Review of Financial Studies, Society for Financial Studies, vol. 3(3), pages 393-430.
    6. Sriram Dasu & José de la Torre, 1997. "Optimizing an International Network of Partially Owned Plants Under Conditions of Trade Liberalization," Management Science, INFORMS, vol. 43(3), pages 313-333, March.
    7. Cox, John C. & Ross, Stephen A. & Rubinstein, Mark, 1979. "Option pricing: A simplified approach," Journal of Financial Economics, Elsevier, vol. 7(3), pages 229-263, September.
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