IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v335y2024i1d10.1007_s10479-023-05778-5.html
   My bibliography  Save this article

Optimization of blood supply chains under different supply scenarios

Author

Listed:
  • Benyong Hu

    (University of Electronic Science and Technology of China)

  • Longmei Tian

    (University of Electronic Science and Technology of China)

  • Kangli Zhao

    (University of Electronic Science and Technology of China)

  • Xu Chen

    (University of Electronic Science and Technology of China)

Abstract

Blood is a living tissue of unique value to the human body and has special features with short shelf life, unpredictable supply, and stochastic demand. The efficiency of blood management affects the quality of medical services. Scholars pay more attention to demand uncertainty than to supply uncertainty in blood supply chain management, which leads to a lack of research on supply uncertainty in such management. We take supply uncertainty into account and discuss three different uncertainty scenarios: optimistic, average, and pessimistic supply scenarios. Different supply scenarios will affect not only the quantity of orders but also the inventory freshness. To balance the fairness of the old inventory allocation, we designed a hybrid allocation policy of old stocks by order share and batch allocation of other stocks by hospital priority. The simulation results reveal the direct and cross effects of supply uncertainty, life cycle, and old inventory ratio (OIR) policy on the system-wide outdating rate. First, for the effect of supply uncertainty, when it is smaller, the system’s outdate rate grows with the increase of its intensity, but when it is larger, the outdate rate hardly grows and even decreases in intensity. Especially, when the supply uncertainty is larger, the expected supply scenarios have no significant effect on the outdate rate. Second, for the effect of product shelf life, when the shelf life is longer, the OIR policy can significantly reduce the system’s outdate rate in the optimistic or average supply scenarios and has little impact on the rate in the pessimistic supply scenario. Third, for the effect of the OIR policy, when the intensity of supply uncertainty is smaller, the OIR policy leads to a large increase in the system’s outdate rate as supply uncertainty grows. However, when the intensity of supply uncertainty is larger, the range of increase in system outdate rate further increases in the optimistic scenario. In contrast, in the pessimistic scenario, it will decrease. Besides, the OIR policy will have no significant effect on the outdate rate when the supply uncertainty is smaller.

Suggested Citation

  • Benyong Hu & Longmei Tian & Kangli Zhao & Xu Chen, 2024. "Optimization of blood supply chains under different supply scenarios," Annals of Operations Research, Springer, vol. 335(1), pages 597-633, April.
  • Handle: RePEc:spr:annopr:v:335:y:2024:i:1:d:10.1007_s10479-023-05778-5
    DOI: 10.1007/s10479-023-05778-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-023-05778-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-023-05778-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:335:y:2024:i:1:d:10.1007_s10479-023-05778-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.