A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach

Ghahremani-Nahr, Javid; Kian, Ramez; Sabet, Ehsan; Akbari, Vahid

Abstract

This paper addresses a multi-objective blood supply chain network design, considering economic and environmental aspects. The objective of this model is to simultaneously minimize a blood supply chain operational cost and its logistical carbon footprint. In order to embed the uncertainty of transportation costs, blood demand, capacity of facilities and carbon emission, a novel robust possibilistic-necessity optimization used regarding a hybrid optimistic-pessimistic form. For solving our bi-objective model, three multi-objective decision making approaches including LP-metric, Goal-Programming and Torabi-Hassini methods are examined. These approaches are assessed and ranked with respect to several attributes using a statistical test and TOPSIS method. Our proposed model can accommodate a wide range of decision-makers viewpoints with the normalized objective weights, both at the operational or strategic level. The trade-offs between the cost and carbon emission for each method has been depicted in our analyses and a Pareto frontier is determined, using a real case study data of 21 cities in the NorthWest of Iran considering a 12-month implementation time window.

Citation

Ghahremani-Nahr, J., Kian, R., Sabet, E., & Akbari, V. (2022). A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach. Operational Research, An International Journal, 22(5), 4685-4723. https://doi.org/10.1007/s12351-022-00710-4

• Journal Article Type: Article
• Acceptance Date: Apr 11, 2022
• Online Publication Date: May 12, 2022
• Publication Date: 2022-11
• Deposit Date: Sep 20, 2022
• Publicly Available Date: Sep 21, 2022
• Journal: Operational Research
• Print ISSN: 1109-2858
• Electronic ISSN: 1866-1505
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 22
• Issue: 5
• Pages: 4685-4723
• DOI: https://doi.org/10.1007/s12351-022-00710-4
• Keywords: Blood supply-chain; Multi-objective; Robust; Fuzzy; Possibilistic-Necessity model
• Public URL: https://nottingham-repository.worktribe.com/output/11465104
• Publisher URL: https://link.springer.com/article/10.1007/s12351-022-00710-4