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Decentralized Multi-Echelon Supply Chains: Incentives and Information

Author

Listed:
  • Hau Lee

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

  • Seungjin Whang

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

Abstract

Consider a supply chain in which a product must pass through multiple sites located in series before it is finally delivered to outside customers. Incentive problems may arise in this system when decisions are delegated to corresponding site managers, each maximizing his/her own performance metric. From the overall system's point of view, the decentralized supply chain may not be as efficient as the centralized one. In practice, alternative performance mechanisms are often used to align the incentives of the different managers in a supply chain. This paper discusses the cost conservation, incentive compatibility, and informational decentralizability properties of these mechanisms. In particular, for a special type of supply chain, we show that a performance measurement scheme involving transfer pricing, consignment, shortage reimbursement, and an additional backlog penalty at the last downstream site satisfies all these properties.

Suggested Citation

  • Hau Lee & Seungjin Whang, 1999. "Decentralized Multi-Echelon Supply Chains: Incentives and Information," Management Science, INFORMS, vol. 45(5), pages 633-640, May.
    • Handle: RePEc:inm:ormnsc:v:45:y:1999:i:5:p:633-640
    DOI: 10.1287/mnsc.45.5.633
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    References listed on IDEAS

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    1. Groves, Theodore & Loeb, Martin, 1975. "Incentives and public inputs," Journal of Public Economics, Elsevier, vol. 4(3), pages 211-226, August.
    2. 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.
    3. Michael H. Riordan, 1984. "Uncertainty, Asymmetric Information and Bilateral Contracts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(1), pages 83-93.
    4. 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.
    5. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    6. Amiya K. Basu & Rajiv Lal & V. Srinivasan & Richard Staelin, 1985. "Salesforce Compensation Plans: An Agency Theoretic Perspective," Marketing Science, INFORMS, vol. 4(4), pages 267-291.
    7. Bengt Holmstrom, 1979. "Moral Hazard and Observability," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 74-91, Spring.
    8. Myerson, Roger B, 1979. "Incentive Compatibility and the Bargaining Problem," Econometrica, Econometric Society, vol. 47(1), pages 61-73, January.
    9. James P. Monahan, 1984. "A Quantity Discount Pricing Model to Increase Vendor Profits," Management Science, INFORMS, vol. 30(6), pages 720-726, June.
    10. Russell L. Ackoff, 1967. "Management Misinformation Systems," Management Science, INFORMS, vol. 14(4), pages 147-156, December.
    11. Ross, Stephen A, 1973. "The Economic Theory of Agency: The Principal's Problem," American Economic Review, American Economic Association, vol. 63(2), pages 134-139, May.
    12. Maqbool Dada & K. N. Srikanth, 1987. "Pricing Policies for Quantity Discounts," Management Science, INFORMS, vol. 33(10), pages 1247-1252, October.
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