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Inventory rotation of medical supplies for emergency response

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  • Zhou, Quan Spring
  • Olsen, Tava Lennon

Abstract

We investigate an inventory control system for a national medical reserve to rotate its long-life perishable product to a hospital. This work is motivated by the serious expiration problem existing in reserves prepared for emergency response. We explicitly consider the perishability of a long-life product, such as latex gloves, and study the joint rotation and ordering decisions. The optimal policy is characterised by two thresholds, and the whole shelf life horizon can be divided into two phases: non-rotation and then rotation after a critical period. We characterise the monotonicity of the order-up-to levels. We find that the optimal policy structure preserves well when extended to scenarios with a capacity constraint and multiple planning horizons. This system possesses an easy-to-implement optimal policy structure, and moreover, implies that we should not always ignore the perishability of long-life products.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ejores:v:257:y:2017:i:3:p:810-821
    DOI: 10.1016/j.ejor.2016.08.010
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    Cited by:

    1. Zhang, Weijian & Shi, Xianliang & Huang, Anqiang & Hua, Guowei & Teunter, Ruud H., 2023. "Optimal stock and capital reserve policies for emergency medical supplies against epidemic outbreaks," European Journal of Operational Research, Elsevier, vol. 304(1), pages 183-191.
    2. Zhou, Quan Spring & Olsen, Tava Lennon, 2018. "Rotating the medical supplies for emergency response: A simulation based approach," International Journal of Production Economics, Elsevier, vol. 196(C), pages 1-11.
    3. Quan Zhou & Tava Lennon Olsen, 2023. "Modeling the effects of dated medical supplies donation on recipient countries," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 116-130, January.
    4. Juzhi Zhang & Tsan‐Ming Choi & T. C. E. Cheng, 2020. "Stochastic production capacity: A bane or a boon for quick response supply chains?," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(2), pages 126-146, March.
    5. Wei Pan & Ying Guo & Wenji Zhang & Lei Jin & Shujie Liao, 2018. "Order policy for emergency medicine with return uncertainty in a closed-loop supply chain," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-24, October.
    6. Yumei Luo & Yuke Zhang & Lei Yang, 2022. "How to Promote Logistics Enterprises to Participate in Reverse Emergency Logistics: A Tripartite Evolutionary Game Analysis," Sustainability, MDPI, vol. 14(19), pages 1-20, September.

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