@article { , title = {A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach}, 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.}, doi = {10.1007/s12351-022-00710-4}, eissn = {1866-1505}, issn = {1109-2858}, issue = {5}, journal = {Operational Research}, note = {Need to add volume, issue, pagination.}, pages = {4685-4723}, publicationstatus = {Published}, url = {https://nottingham-repository.worktribe.com/output/11465104}, volume = {22}, keyword = {Blood supply-chain, Multi-objective, Robust, Fuzzy, Possibilistic-Necessity model}, year = {2022}, author = {Ghahremani-Nahr, Javid and Kian, Ramez and Sabet, Ehsan and Akbari, Vahid} }