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Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals

机译:随机整数规划模型可减少医院血液制品的浪费和短缺

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摘要

Major challenges in the management of the blood supply chain are related to the shortage and wastage of the blood products. Given the perishable characteristics of this product, storing an excessive number of blood units on inventory could result on the wastage of this limited resource. On the other hand, having shortages may result in cancellations of critical health related activities and as a result a potential increase on fatality rates at hospitals. This paper presents integer programming models to minimize the total cost, shortage and wastage levels of blood products at a hospital within a planning horizon. The primary focus is on the red blood cells and the platelet components of the whole blood cells. The stochastic and deterministic models included consider uncertain demand rates, demand for two types of patients, and crossmatch-to-transfusion ratio. Results show wastage rates decreasing from 19.9% to 2.57% on average. In addition, the shortages and total cost are reduced 91.43% and 20.7% respectively for a given capacity increases. Computational results are included and discussed.
机译:血液供应链管理中的主要挑战与血液制品的短缺和浪费有关。考虑到该产品的易腐特性,库存过多的血液单位可能会浪费这种有限的资源。另一方面,人手不足可能会导致与健康相关的关键活动取消,结果医院的病死率可能会增加。本文提出了整数规划模型,以最大程度地减少计划范围内医院血液制品的总成本,短缺和浪费水平。主要重点是红细胞和全血的血小板成分。随机和确定性模型包括考虑不确定的需求率,对两种类型患者的需求以及交叉匹配与输血比率。结果显示,浪费率平均从19.9%降低到2.57%。此外,对于给定的容量增加,短缺和总成本分别减少了91.43%和20.7%。计算结果包括在内并进行了讨论。

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