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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
    DOI: 10.1287/msom.1120.0403
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    References listed on IDEAS

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    Cited by:

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    2. Zhili Tian & Haresh Gurnani & Yi Xu, 2021. "Collaboration in Development of New Drugs," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 3943-3966, November.
    3. 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.
    4. Jun Zhao, 2022. "Will the community O2O service supply channel benefit the elderly healthcare service supply chain?," Electronic Commerce Research, Springer, vol. 22(4), pages 1617-1650, December.
    5. Xiaodan Zhu & Anh Ninh & Hui Zhao & Zhenming Liu, 2021. "Demand Forecasting with Supply‐Chain Information and Machine Learning: Evidence in the Pharmaceutical Industry," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3231-3252, September.
    6. 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.
    7. Goudarzi, Fatemeh (Sahar) & Olaru, Doina & Bergey, Paul, 2023. "Beyond risk attitude: Unpacking behavioral drivers of supply chain contracts," International Journal of Production Economics, Elsevier, vol. 255(C).
    8. Faghih-Roohi, Shahrzad & Akcay, Alp & Zhang, Yingqian & Shekarian, Ehsan & de Jong, Eelco, 2020. "A group risk assessment approach for the selection of pharmaceutical product shipping lanes," International Journal of Production Economics, Elsevier, vol. 229(C).
    9. Liang Xu & Vidya Mani & Hui Zhao, 2023. "“Not a box of nuts and bolts”: Distribution channels for specialty drugs," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2283-2303, July.
    10. Chen, Xu & Yang, Huan & Wang, Xiaojun, 2019. "Effects of price cap regulation on the pharmaceutical supply chain," Journal of Business Research, Elsevier, vol. 97(C), pages 281-290.
    11. Carlos Franco & Edgar Alfonso-Lizarazo, 2017. "A Structured Review of Quantitative Models of the Pharmaceutical Supply Chain," Complexity, Hindawi, vol. 2017, pages 1-13, December.

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