A fuzzy stochastic bi-objective model for blood provision in disastrous time

Emergency blood distribution seeks to employ different means in order to optimize the amount of blood transported while timely provision. this paper addresses the concept of blood distribution management in disastrous conditions and develops a fuzzy scenario-based bi-objective model whereas blood compatibility concept is incorporated in the model, and the aim is to minimize the level of unsatisfied demand of affected areas (aas) while minimizing the cost of the supply chain. the blood supply chain network under investigation consists of blood suppliers (hospitals or blood centers), blood distribution centers (bdcs), and aas. demand and capacity, as well as cost, are the sources of uncertainty and in accordance with the nature of the problem, the fuzzy-stochastic programming method is applied to deal with these uncertainties. after removing nonlinear terms, ɛ-constraint solves the bi-objective model as a single objective one. finally, we apply a case from iran to show the applicability of the model, results prove the role of blood distribution management in decreasing the unsatisfied demand about 38%.