Blood inventory management: Ordering policies for hospital blood banks under uncertainty

作     者：Meneses, Maria Marques, Ines Barbosa-Povoa, Ana 

作者机构：Univ Lisbon Ctr Management Studies Inst Super Tecn Ave Rovisco Pais 1 P-1049001 Lisbon Portugal 

出 版 物：《INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH》 (国际运筹学汇报)

年 卷 期：2023年第30卷第1期

页      面：273-301页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070105[理学-运筹学与控制论] 0701[理学-数学] 

基　　金：Fundacao para a Ciencia e a Tecnologia (FCT) [DSAIPA/AI/0033/2019] Fundação para a Ciência e a Tecnologia [DSAIPA/AI/0033/2019] Funding Source: FCT 

主　　题：blood supply chain inventory management perishable products stochastic programming ABO‐ substitution 

摘      要：The blood supply chain faces several challenges, such as stochastic demand and supply, the relation between the various stages of the chain, and the intrinsic nature of the product. Blood is a perishable, scarce, and (in most cases) voluntarily supplied product used to perform vital transfusions in patients which increases the pressure of managing its supply chain as efficiently and effectively as possible. For these reasons, it is crucial to have optimized inventory management that allows the availability of the right type of blood product, in the right place, at the right time, and in the right amount while avoiding wastage, especially in hospital blood banks that are the direct link to patients. This work aims to address these challenges with a new two-stage stochastic programming model for defining optimal ordering policies for blood products, considering demand uncertainty. This model minimizes wastage, shortages, and total costs related to blood inventory management, including ABO-substitutions. The model supports hospitals tactical-operational decisions of when and how much blood products to order. A case study of a Portuguese hospital is used to validate and show the applicability of the model. By comparing several ordering policies, we show that it is possible to contemplate the decision maker s goals whilst obtaining substantial reductions in terms of wastage and costs. These results allow the definition of an important set of managerial insights.