An efficient blood supply chain network model with multiple echelons for managing outdated products

Healthcare analytics (New York, N.Y.) Pub Date : 2025-06-01 Epub Date: 2024-12-18 DOI:10.1016/j.health.2024.100377
Agus Mansur , Ivan Darma Wangsa , Novrianty Rizky , Iwan Vanany
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Abstract

This study examines the lack of coordination between blood production and inventories in the blood supply chain networks. Prior studies neglect to optimize operational costs through blood production, inventory, and waste. We propose a mixed-integer linear programming approach addressing multiple echelons, types of blood, and blood bag shelf lifetime. The model is developed by determining the facility locations, assigning regional blood banks, and allocating the right products. Indonesia's blood supply chain is used as a case study to evaluate the applicability of the proposed model using optimization software. A sensitivity analysis is performed on production rate and patient demand to assess how these factors affect the overall cost of expired products. The results show that the proposed method's total cost and expired products are 4.69%–5.60% and 4.71%–5.75%, respectively.
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一种高效的多梯队血液供应链网络模型,用于过期产品的管理
本研究探讨了血液供应链网络中血液生产和库存之间缺乏协调。先前的研究忽略了通过血液生产、库存和浪费来优化运营成本。我们提出了一种混合整数线性规划方法来处理多梯队、血液类型和血袋保质期。该模型是通过确定设施位置、分配区域血库和分配正确的产品来开发的。以印度尼西亚的血液供应链为例,利用优化软件评估所提出模型的适用性。对生产率和患者需求进行敏感性分析,以评估这些因素如何影响过期产品的总成本。结果表明,该方法的总成本为4.69% ~ 5.60%,过期产品为4.71% ~ 5.75%。
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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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