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Research on Inventory Optimization Strategies for Blood Supply Chain Considering Timeliness and Substitutability

In: Liss 2023

Author

Listed:
  • Liubin Wan

    (Beijing Jiaotong University)

  • Zihao Liu

    (Beijing Benz Automotive Co., Ltd.)

  • Jie Xu

    (Beijing Jiaotong University)

Abstract

Blood, as a precious and scarce resource, faces the dual challenge of waste and shortage in China’s existing blood supply chain. In this study, we investigate the blood supply chain consisting of a blood center and two hospitals, and develop an inventory optimization model that considers blood timeliness and blood type substitutability. The model aims to minimize blood expiration rate while ensuring acceptable blood timeliness, and to study inventory optimization strategies. A TA-TS-HA heuristic algorithm is used to analyze the case, and the results show that inventory control strategies significantly affect the blood expiration rate in each entity, while blood type substitutability has a significant impact on the overall blood expiration rate and shortage rate of the blood supply chain. Considering blood type substitutability within hospitals is better than not considering it. The model provides decision-making ideas for inventory optimization of the blood supply chain as a whole.

Suggested Citation

  • Liubin Wan & Zihao Liu & Jie Xu, 2024. "Research on Inventory Optimization Strategies for Blood Supply Chain Considering Timeliness and Substitutability," Lecture Notes in Operations Research, in: Daqing Gong & Yixuan Ma & Xiaowen Fu & Juliang Zhang & Xiaopu Shang (ed.), Liss 2023, pages 283-296, Springer.
    • Handle: RePEc:spr:lnopch:978-981-97-4045-1_22
    DOI: 10.1007/978-981-97-4045-1_22
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