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Fee-for-Service Contracts in Pharmaceutical Distribution Supply Chains: Design, Analysis, and Management

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  • Hui Zhao

    () (Smeal College of Business, Pennsylvania State University, University Park, Pennsylvania 16802)

  • Chuanhui Xiong

    () (School of Business, University of North Carolina at Pembroke, Pembroke, North Carolina 28372)

  • Srinagesh Gavirneni

    () (Nanyang Business School, Nanyang Technological University, Singapore 639798)

  • Adam Fein

    () (Pembroke Consulting Inc., Philadelphia, Pennsylvania 19102)

Abstract

Fee-for-service (FFS) contracts, first introduced in 2004, dramatically changed the way the pharmaceutical distribution supply chains are designed, managed, and operated. Investment buying (IB), forward buying in anticipation of drug price increases, used to be the way the distributors made most of their profits. FFS contracts limit the amount of inventory distributors can carry at any time (by imposing an inventory cap) and require inventory information sharing from the distributors to the manufacturers while compensating the distributors with a per-unit fee. In spite of its widespread popularity, the FFS model has never been rigorously analyzed or its effectiveness carefully tabulated. In this paper, we formulate the multiperiod stochastic inventory problems faced by the manufacturer and the distributor under the FFS and IB models, derive their optimal policies, and develop procedures to compute the policy parameters. We show that FFS contracts can improve the total supply chain profit--the manufacturer and distributor are now able to share a larger pie. Thus, there exists a range of the per-unit fees that leads to Pareto improvement. Simulation results show that such improvement is approximately 1.7% on average, and as much as 5.5%, and the improvement increases as the inventory cap decreases. Determining the Pareto-improving per-unit fees is a source of contention in FFS contract negotiation, and we propose a simple yet effective heuristic for computing them. Furthermore, supply chain transparency facilitated by the FFS contracts can significantly reduce the manufacturer's supply-demand mismatch costs (by approximately 3.63% on average and as much as 13.01%) and we show that the manufacturer should take advantage of this transparency especially when the inventory cap and drug price increase are high and demand variance is low. We believe that these results have the potential to improve the efficiency of pharmaceutical distribution supply chains, thus reducing the healthcare costs that are such a big burden on the U.S. economy.

Suggested Citation

  • Hui Zhao & Chuanhui Xiong & Srinagesh Gavirneni & Adam Fein, 2012. "Fee-for-Service Contracts in Pharmaceutical Distribution Supply Chains: Design, Analysis, and Management," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 685-699, October.
  • Handle: RePEc:inm:ormsom:v:14:y:2012:i:4:p:685-699
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    File URL: http://dx.doi.org/10.1287/msom.1120.0403
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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. Paul Glasserman & Sridhar Tayur, 1995. "Sensitivity Analysis for Base-Stock Levels in Multiechelon Production-Inventory Systems," Management Science, INFORMS, vol. 41(2), pages 263-281, February.
    3. Gavirneni, Srinagesh & Morton, Thomas E., 1999. "Inventory control under speculation: Myopic heuristics and exact procedures," European Journal of Operational Research, Elsevier, vol. 117(2), pages 211-221, September.
    4. Ravi Anupindi & Ram Akella, 1993. "Diversification Under Supply Uncertainty," Management Science, INFORMS, vol. 39(8), pages 944-963, August.
    5. 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.
    6. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    7. Yossi Aviv, 2001. "The Effect of Collaborative Forecasting on Supply Chain Performance," Management Science, INFORMS, vol. 47(10), pages 1326-1343, October.
    8. Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
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    Cited by:

    1. Volland, Jonas & Fügener, Andreas & Schoenfelder, Jan & Brunner, Jens O., 2017. "Material logistics in hospitals: A literature review," Omega, Elsevier, vol. 69(C), pages 82-101.
    2. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.

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