عنوان مقاله [English]
Management of blood products is one of the major concerns of mankind. Although efforts have been made to find suitable alternatives to blood, but blood donors are still the most important source of care for patients. Blood is a sensitive and perishable product; in addition, a little its randomness of supply and demand can add to the complexity of this chain and make it difficult to manage, especially in earthquake-prone situations, because its deficiency causes human death and excess is not accepted. Therefore, in this paper, a mathematical model for locating blood distribution sites along with transporting vehicles routing in earthquake conditions is presented. The goals are to minimize blood shortages, maximize satisfaction of affected people, and minimize transportation and location costs. One of the contributions of this paper is considering scenario-based uncertainty along with risk of disturbance and satisfaction of affected people. The proposed model is solved in small and medium dimensions with the Epsilon constraint algorithm and for the case study (District 7 of Tehran city) with the non-dominated sorting genetic algorithm (NSGA). The results of the analysis show that the estimation error is minimized in the non-dominated sorting genetic algorithm and as the number of established distribution centers increases with demand increases.