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Formulating Blood Rotation Policies with Multiple Objectives

Author

Listed:
  • Kenneth E. Kendall

    (University of Nebraska, Lincoln)

  • Sang M. Lee

    (University of Nebraska, Lincoln)

Abstract

Human blood is perishable. Therefore it must be systematically redistributed to hospital blood banks where it will have a high probability of transfusion. Ideally this redistribution, referred to as blood rotation, should be performed in such a manner as to minimze the outdating and improve the quality of blood while keeping the frequency of blood shortages and regional operating costs at reasonable levels. Priorities for attaining these multiple objectives are different in every blood region. Consequently, in this paper, a goal programming model is developed to attain multiple goals as identified by the administrator of a regional blood center. Included in the model are goal constraints related to inventory levels, the availability of fresh blood, blood outdating, the age of the blood, and the cost of collecting it. The paper reports the results of applying the methodology in a large urban-rural blood region in the midwest. Use of the model demonstrated that: -- the percentage of blood collected for use within the region but not used could be reduced from 14.9% to 9.2% without increasing the frequncy of shortages; -- overstocking of hospital blood banks would be eliminated; -- sufficient fresh blood could be made available to meet the needs of special surgery; -- the amount of blood needed to be collected for use within the region could be reduced by over 5%, saving approximately $115,000 per year.

Suggested Citation

  • Kenneth E. Kendall & Sang M. Lee, 1980. "Formulating Blood Rotation Policies with Multiple Objectives," Management Science, INFORMS, vol. 26(11), pages 1145-1157, November.
    • Handle: RePEc:inm:ormnsc:v:26:y:1980:i:11:p:1145-1157
    DOI: 10.1287/mnsc.26.11.1145
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    Citations

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    Cited by:

    1. Puranam, Kartikeya & Novak, David C. & Lucas, Marilyn T. & Fung, Mark, 2017. "Managing blood inventory with multiple independent sources of supply," European Journal of Operational Research, Elsevier, vol. 259(2), pages 500-511.
    2. Zhou, Quan Spring & Olsen, Tava Lennon, 2017. "Inventory rotation of medical supplies for emergency response," European Journal of Operational Research, Elsevier, vol. 257(3), pages 810-821.
    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. Liu, Wenqian & Ke, Ginger Y. & Chen, Jian & Zhang, Lianmin, 2020. "Scheduling the distribution of blood products: A vendor-managed inventory routing approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    5. Dehghani, Maryam & Abbasi, Babak & Oliveira, Fabricio, 2021. "Proactive transshipment in the blood supply chain: A stochastic programming approach," Omega, Elsevier, vol. 98(C).
    6. Gunpinar, Serkan & Centeno, Grisselle, 2016. "An integer programming approach to the bloodmobile routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 86(C), pages 94-115.
    7. Şahinyazan, Feyza Güliz & Kara, Bahar Y. & Taner, Mehmet Rüştü, 2015. "Selective vehicle routing for a mobile blood donation system," European Journal of Operational Research, Elsevier, vol. 245(1), pages 22-34.
    8. Arben Asllani & Silvana Trimi, 2022. "COVID-19 vaccine distribution: exploring strategic alternatives for the greater good," Service Business, Springer;Pan-Pacific Business Association, vol. 16(3), pages 601-619, September.
    9. Ensafian, Hamidreza & Yaghoubi, Saeed, 2017. "Robust optimization model for integrated procurement, production and distribution in platelet supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 32-55.
    10. Ramezanian, Reza & Behboodi, Zahra, 2017. "Blood supply chain network design under uncertainties in supply and demand considering social aspects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 69-82.
    11. Tirkolaee, Erfan Babaee & Golpîra, Hêriş & Javanmardan, Ahvan & Maihami, Reza, 2023. "A socio-economic optimization model for blood supply chain network design during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    12. 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.
    13. Esmaeili, Somayeh & Bashiri, Mahdi & Amiri, Amirhossein, 2023. "An exact criterion space search algorithm for a bi-objective blood collection problem," European Journal of Operational Research, Elsevier, vol. 311(1), pages 210-232.

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