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End-to-End Drug Supply Management in Multicenter Trials

Author

Listed:
  • Michael Lefew

    (William & Mary)

  • Anh Ninh

    (William & Mary)

  • Vladimir Anisimov

    (Amgen Ltd)

Abstract

As clinical trials are increasingly globalized with complex footprints over hundreds of sites worldwide, sponsors and contract research organizations constantly seek to make better and faster decisions on their investigational products, and drug supply planning must evolve to ensure efficient, effective supply chain for every study. This endeavor is challenging due to several characteristics of multi-center trials including randomization schemes for treatment arms, finite recruitment target (that is, across all sites, only a finite number of subjects need be satisfied) and uncertainty in recruitment, etc. In this paper, we provide an operational framework for end-to-end supply management for global trials. In particular, we utilize the Poisson-gamma model for patient recruitment since it facilitates accurate predictions of remaining time as well as the number of future recruits. Further, we can also derive closed-form formulas for parameters of inventory policies used in a multi-echelon system, which provides the foundation for analytically-based simulation. Finally, thorough numerical studies show insights into influencing factors to drug supply decisions.

Suggested Citation

  • Michael Lefew & Anh Ninh & Vladimir Anisimov, 2021. "End-to-End Drug Supply Management in Multicenter Trials," Methodology and Computing in Applied Probability, Springer, vol. 23(3), pages 695-709, September.
    • Handle: RePEc:spr:metcap:v:23:y:2021:i:3:d:10.1007_s11009-020-09776-z
    DOI: 10.1007/s11009-020-09776-z
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    References listed on IDEAS

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    1. S. Zacks, 1974. "On the optimality of the bayes prediction policy in two‐echelon multistation inventory models," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 21(4), pages 569-574, December.
    2. S. Zacks & J. Fennell, 1972. "Bayes adaptive control of two‐echelon inventory systems i: development for a special case of one‐station lower echelon and monte carlo evaluation," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 19(1), pages 15-28, March.
    3. Craig C. Sherbrooke, 1968. "Metric: A Multi-Echelon Technique for Recoverable Item Control," Operations Research, INFORMS, vol. 16(1), pages 122-141, February.
    4. S. Zacks & J. Fennell, 1974. "Bayes adaptive control of two‐echelon inventory systems, II: The multistation case," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 21(4), pages 575-593, December.
    5. Adam Fleischhacker & Anh Ninh & Yao Zhao, 2015. "Positioning Inventory in Clinical Trial Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 24(6), pages 991-1011, June.
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    Cited by:

    1. Ninh, Anh & Bao, Yunhong & McGibney, Daniel & Nguyen, Tuan, 2024. "Clinical site selection problems with probabilistic constraints," European Journal of Operational Research, Elsevier, vol. 316(2), pages 779-791.

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