Performance Contracting in After-Sales Service Supply Chains
Performance-based contracting is reshaping service support supply chains in capital-intensive industries such as aerospace and defense. Known as "power by the hour" in the private sector and as "performance-based logistics" (PBL) in defense contracting, it aims to replace traditionally used fixed-price and cost-plus contracts to improve product availability and reduce the cost of ownership by tying a supplier's compensation to the output value of the product generated by the customer (buyer). To analyze implications of performance-based relationships, we introduce a multitask principal-agent model to support resource allocation and use it to analyze commonly observed contracts. In our model the customer (principal) faces a product availability requirement for the "uptime" of the end product. The customer then offers contracts contingent on availability to n suppliers (agents) of the key subsystems used in the product, who in turn exert cost reduction efforts and set spare-parts inventory investment levels. We show that the first-best solution can be achieved if channel members are risk neutral. When channel members are risk averse, we find that the second-best contract combines a fixed payment, a cost-sharing incentive, and a performance incentive. Furthermore, we study how these contracts evolve over the product deployment life cycle as uncertainty in support cost changes. Finally, we illustrate the application of our model to a problem based on aircraft maintenance data and show how the allocation of performance requirements and contractual terms change under various environmental assumptions.
Volume (Year): 53 (2007)
Issue (Month): 12 (December)
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- Fangruo Chen, 2005. "Salesforce Incentives, Market Information, and Production/Inventory Planning," Management Science, INFORMS, vol. 51(1), pages 60-75, January.
- Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," Journal of Law, Economics and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
- Kut C. So & Christopher S. Tang, 2000. "Modeling the Impact of an Outcome-Oriented Reimbursement Policy on Clinic, Patients, and Pharmaceutical Firms," Management Science, INFORMS, vol. 46(7), pages 875-892, July.
- G. J. Feeney & C. C. Sherbrooke, 1966. "The (S - 1, S) Inventory Policy Under Compound Poisson Demand," Management Science, INFORMS, vol. 12(5), pages 391-411, January.
- F. M. Scherer, 1964. "The Theory of Contractual Incentives for Cost Reduction," The Quarterly Journal of Economics, Oxford University Press, vol. 78(2), pages 257-280.
- Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, March.
- J. Michael Cummins, 1977. "Incentive Contracting for National Defense: A Problem of Optimal Risk Sharing," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 168-185, Spring.
- R. Preston McAfee & John McMillan, 1986. "Bidding for Contracts: A Principal-Agent Analysis," RAND Journal of Economics, The RAND Corporation, vol. 17(3), pages 326-338, Autumn.
- Erica L. Plambeck & Terry A. Taylor, 2006. "Partnership in a Dynamic Production System with Unobservable Actions and Noncontractible Output," Management Science, INFORMS, vol. 52(10), pages 1509-1527, October.
- Jan A. Van Mieghem, 2007. "Risk Mitigation in Newsvendor Networks: Resource Diversification, Flexibility, Sharing, and Hedging," Management Science, INFORMS, vol. 53(8), pages 1269-1288, August.
- Yunzeng Wang & Morris A. Cohen & Yu-Sheng Zheng, 2000. "A Two-Echelon Repairable Inventory System with Stocking-Center-Dependent Depot Replenishment Lead Times," Management Science, INFORMS, vol. 46(11), pages 1441-1453, November.
- Ananth V. Iyer & Leroy B. Schwarz & Stefanos A. Zenios, 2005. "A Principal-Agent Model for Product Specification and Production," Management Science, INFORMS, vol. 51(1), pages 106-119, January.
- Xuanming Su & Stefanos A. Zenios, 2006. "Recipient Choice Can Address the Efficiency-Equity Trade-off in Kidney Transplantation: A Mechanism Design Model," Management Science, INFORMS, vol. 52(11), pages 1647-1660, November.
- George J. Feeney & Craig C. Sherbrooke, 1966. "Correction to "(s - 1, s) Inventory Policy Under Compound Poisson Demand"," Management Science, INFORMS, vol. 12(11), pages 908-908, July.
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