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 operational cost its logistical carbon footprint. In order embed the uncertainty transportation costs, demand, capacity facilities emission, novel robust possibilistic-necessity optimization used regarding hybrid optimistic-pessimistic form. For solving our bi-objective model, three decision making approaches including LP-metric, Goal-Programming Torabi- Hassini methods are examined. These assessed ranked with respect several attributes using statistical test TOPSIS method. Our proposed can accommodate wide range decision-makers’ viewpoints normalized weights, both at or strategic level. trade-offs between emission for each method has been depicted in analyses Pareto frontier determined, real case study data 21 cities North-West Iran 12-month implementation time window.