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Blood Inventory Management: An Overview of Theory and Practice

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  • Gregory P. Prastacos

    (The Athens School of Economics and Business Science, 76 Patission Street, Athens 104, Greece)

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    Abstract

    Blood Inventory Management has attracted significant interest from the Operations Research profession during the last 15 years. A number of methodological contributions have been made in the areas of inventory theory and combinatoric optimization that can be of use to other products or systems. These contributions include the development of exact and approximate ordering and issuing policies for an inventory system, the analysis of LIFO or multi-product systems, and various forms of distribution scheduling. In addition, many of these results have been implemented, either as decision rules for efficient blood management in a hospital, or as decision support systems for hierarchical planning in a Regional Blood Center. In this paper we attempt a review of the recent Operations Research contributions to blood inventory management theory and practice. Whereas many problems have been solved, others remain open and new ones keep being created with advances in medical technology and practices. Our approach is not to present an exhaustive review of all the literature in the field, but rather to address several important issues from a unified perspective of theory and practice, and point out new areas for further research.

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    File URL: http://dx.doi.org/10.1287/mnsc.30.7.777
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 30 (1984)
    Issue (Month): 7 (July)
    Pages: 777-800

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    Handle: RePEc:inm:ormnsc:v:30:y:1984:i:7:p:777-800

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    Related research

    Keywords: health care: blood bank; inventory: perishable items; probability: stochastic model applications;

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    Cited by:
    1. Edgar Alfonso & Xiaolan Xie & Vincent Augusto & Olivier Garraud, 2012. "Modeling and simulation of blood collection systems," Health Care Management Science, Springer, vol. 15(1), pages 63-78, March.
    2. Bakker, Monique & Riezebos, Jan & Teunter, Ruud H., 2012. "Review of inventory systems with deterioration since 2001," European Journal of Operational Research, Elsevier, vol. 221(2), pages 275-284.
    3. Katsaliaki, Korina, 2008. "Cost-effective practices in the blood service sector," Health Policy, Elsevier, vol. 86(2-3), pages 276-287, May.
    4. Anna Nagurney & Amir Masoumi & Min Yu, 2012. "Supply chain network operations management of a blood banking system with cost and risk minimization," Computational Management Science, Springer, vol. 9(2), pages 205-231, May.
    5. Haijema, René & van Dijk, Nico & van der Wal, Jan & Smit Sibinga, Cees, 2009. "Blood platelet production with breaks: optimization by SDP and simulation," International Journal of Production Economics, Elsevier, vol. 121(2), pages 464-473, October.
    6. Padmanabhan, G. & Vrat, Prem, 1995. "EOQ models for perishable items under stock dependent selling rate," European Journal of Operational Research, Elsevier, vol. 86(2), pages 281-292, October.
    7. 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.
    8. Duan, Qinglin & Liao, T. Warren, 2013. "A new age-based replenishment policy for supply chain inventory optimization of highly perishable products," International Journal of Production Economics, Elsevier, vol. 145(2), pages 658-671.

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