A lateral resupply blood supply chain network design under uncertainties

• Published in: Applied Mathematical Modelling Vol. 93; pp. 165 - 187
• Main Authors: Arani, Mohammad, Chan, Yupo, Liu, Xian, Momenitabar, Mohsen
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 01.05.2021; Elsevier BV
• Subjects: ABO and Rh factors; Apheresis method; Blood; Blood products; Blood supply chain network design; Business metrics; Goal programming; Hospitals; Indicators; Inventory management; Mathematical programming; Mixed integer; Multi-objective mixed integer programming; Network design; Optimization; Revised multi-choice goal programming; Supply chains; Uncertainty; Blood supply chain network design; Revised multi-choice goal programming; Multi-objective mixed integer programming; Apheresis method; ABO and Rh factors
• ISSN: 0307-904X; 1088-8691; 0307-904X
• DOI: 10.1016/j.apm.2020.12.010

•Presenting a novel mixed-integer programming model for designing a sustainable lateral resupply blood supply chain network.•Addressing a blood inventory-routing problem with supply and demand uncertainties.•Considering ABO and Rh factor and the interchangeability of blood products.•Developing a scenario-based stochastic optimization model and revised multi-choice goal programming approach to solve. The vibrant subject of blood banking and blood distribution is addressed where lateral resupply of blood products is allowed. In this paper, we studied a blood supply chain network design consisting of four conventional levels each of which corresponding to one entity in the real world: donors, blood collection facilities, blood centers, and hospitals. The blood supply chain network considered two important properties: ABO-Rh factors and shelf lives of blood products. Moreover, an integrated inventory system for sharing hospitals’ inventory levels is considered to investigate the two performance indicators of the network in terms of cross-matching and outdated units. This type of inventory system is known as “Lateral Resupply” permitting a hospital to satisfy its demand by the other hospitals’ inventories in the absence of the required product at the blood center and its excess in any hospital. The proposed mixed-integer mathematical programming model entails three objectives referring to the three underlying concepts of sustainability, additionally, to cope with uncertainties and multi objectiveness, a scenario-based optimization approach and revised multi-choice goal programming technique were employed, respectively. Finally, the results confirmed that the lateral resupply virtue improved the performance indicators.