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Be the Match: Optimizing Capacity Allocation for Allogeneic Stem Cell Transplantation

Author

Listed:
  • Sundara Natarajan Panchanatham

    (Technology and Operations Management, INSEAD, Singapore 138676, Singapore)

  • Michael Freeman

    (Technology and Operations Management, INSEAD, Singapore 138676, Singapore)

  • Harry Groenevelt

    (Simon Business School, University of Rochester, Rochester, New York 14627)

  • Sameer Hasija

    (Technology and Operations Management, INSEAD, Singapore 138676, Singapore)

Abstract

Problem definition : Treating many blood-related diseases requires transplantation of genetically compatible hematopoietic stem cells (HSCs) extracted from the bone marrow (BM) of live donors or the umbilical cord blood (CB) of babies. To facilitate the search for HSCs, institutions known as BM registries collect the details of potential donors and CB banks store units of CB. This paper focuses on the problem of joint optimization of the capacity of these two institutions. Academic/practical relevance : With more than 10 million genetic variants, limited inventory relative to this variety, and random replenishment, BM registry and CB bank compositions are random, interdependent, and change nondeterministically over time. Furthermore, BM and CB differ in their supply, costs, genetic matching criteria, and influences on medical outcomes, giving rise to important tradeoffs such that neither is preferred exclusively to the other. Jointly determining the optimal capacity of both sources is therefore both technically challenging and has immediate policy implications. Methodology : We develop a simulation-based approach to estimate the temporal variation in matching probabilities before incorporating the associated regression parameters into a mathematical model closely matching the research context. Results are contrasted against a simplified mathematical model, highlighting the importance of the dynamic setup. Results : Inventories of 17.5 million registered BM donors and 335,000 CB units are estimated as optimal for the U.S. population under reasonable assumptions. Expanding capacity to these levels would satisfy 33% of the currently unmet demand, increasing the transplantation rate to 98.7% and delivering $770 million of extra social surplus annually. Managerial implications : Rigorous policy analyses are imperative for designing evidence-based, cost-effective policies that deliver societal benefits. To this end, we provide quantitative evidence in support of calls for further expansion of the national BM registry and CB banks in the United States. We also propose annual recruitment targets for BM donors and CB units to maintain the two institutions at their suggested levels.

Suggested Citation

  • Sundara Natarajan Panchanatham & Michael Freeman & Harry Groenevelt & Sameer Hasija, 2022. "Be the Match: Optimizing Capacity Allocation for Allogeneic Stem Cell Transplantation," Manufacturing & Service Operations Management, INFORMS, vol. 24(6), pages 3019-3038, November.
  • Handle: RePEc:inm:ormsom:v:24:y:2022:i:6:p:3019-3038
    DOI: 10.1287/msom.2022.1093
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    References listed on IDEAS

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    1. Kristiaan M. Glorie & J. Joris van de Klundert & Albert P. M. Wagelmans, 2014. "Kidney Exchange with Long Chains: An Efficient Pricing Algorithm for Clearing Barter Exchanges with Branch-and-Price," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 498-512, October.
    2. Harrison, J. Michael & Van Mieghem, Jan A., 1999. "Multi-resource investment strategies: Operational hedging under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 113(1), pages 17-29, February.
    3. Jan A. Van Mieghem, 1998. "Investment Strategies for Flexible Resources," Management Science, INFORMS, vol. 44(8), pages 1071-1078, August.
    4. Yehuda Bassok & Ravi Anupindi & Ram Akella, 1999. "Single-Period Multiproduct Inventory Models with Substitution," Operations Research, INFORMS, vol. 47(4), pages 632-642, August.
    5. David H. Howard & David Meltzer & Craig Kollman & Martin Maiers & Brent Logan & Loren Gragert & Michelle Setterholm & Mary M. Horowitz, 2008. "Use of Cost-Effectiveness Analysis to Determine Inventory Size for a National Cord Blood Bank," Medical Decision Making, , vol. 28(2), pages 243-253, March.
    6. 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.
    7. Joonkyum Lee & Vishal Gaur & Suresh Muthulingam & Gary F. Swisher, 2016. "Stockout-Based Substitution and Inventory Planning in Textbook Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 104-121, February.
    8. John P. Dickerson & Ariel D. Procaccia & Tuomas Sandholm, 2019. "Failure-Aware Kidney Exchange," Management Science, INFORMS, vol. 65(4), pages 1768-1791, April.
    9. Stefanos A. Zenios, 2002. "Optimal Control of a Paired-Kidney Exchange Program," Management Science, INFORMS, vol. 48(3), pages 328-342, March.
    10. Theodore C. Bergstrom & Rodney J. Garratt & Damien Sheehan-Connor, 2009. "One Chance in a Million: Altruism and the Bone Marrow Registry," American Economic Review, American Economic Association, vol. 99(4), pages 1309-1334, September.
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