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A Collections Planning Model for Regional Blood Suppliers: Description and Validation

Author

Listed:
  • P. D. Cumming

    (State University of New York at Buffalo)

  • K. E. Kendall

    (University of Minnesota, Minneapolis)

  • C. C. Pegels

    (State University of New York at Buffalo)

  • J. P. Seagle

    (State University of New York at Albany)

  • J. F. Shubsda

    (State University of New York at Buffalo)

Abstract

A planning model has been developed to assist regional blood suppliers in alleviating seasonal imbalances between supply and demand of blood. A Markovian population model is used to project various performance measures for a blood supply region. These measures are summarized in graphs covering a planning period of several months to one year. The planner improves projected performance by changing collection plans and using the planning model iteratively to evaluate each plan. The data required by the model are generally available: past performance of bloodmobile sponsors, quotas and demand forecasts. In this paper the model is described, projected performance measures are validated against actual measures, sensitivity to errors in inputs is analyzed and the model is evaluated relative to less complex models. The planning model is shown to be sufficiently accurate for its purpose and highly effective for its cost. It has been implemented by two regional blood suppliers using remote computer terminals.

Suggested Citation

  • P. D. Cumming & K. E. Kendall & C. C. Pegels & J. P. Seagle & J. F. Shubsda, 1976. "A Collections Planning Model for Regional Blood Suppliers: Description and Validation," Management Science, INFORMS, vol. 22(9), pages 962-971, May.
    • Handle: RePEc:inm:ormnsc:v:22:y:1976:i:9:p:962-971
    DOI: 10.1287/mnsc.22.9.962
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    Cited by:

    1. Lowalekar, Harshal & Ravi, R. Raghavendra, 2017. "Revolutionizing blood bank inventory management using the TOC thinking process: An Indian case study," International Journal of Production Economics, Elsevier, vol. 186(C), pages 89-122.
    2. Osorio, Andres F. & Brailsford, Sally C. & Smith, Honora K., 2018. "Whole blood or apheresis donations? A multi-objective stochastic optimization approach," European Journal of Operational Research, Elsevier, vol. 266(1), pages 193-204.
    3. Turgay Ayer & Can Zhang & Chenxi Zeng & Chelsea C. White III & V. Roshan Joseph, 2019. "Analysis and Improvement of Blood Collection Operations," Service Science, INFORMS, vol. 21(1), pages 29-46, January.
    4. Dehghani, Maryam & Abbasi, Babak & Oliveira, Fabricio, 2021. "Proactive transshipment in the blood supply chain: A stochastic programming approach," Omega, Elsevier, vol. 98(C).
    5. Beliën, Jeroen & Forcé, Hein, 2012. "Supply chain management of blood products: A literature review," European Journal of Operational Research, Elsevier, vol. 217(1), pages 1-16.

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