چكيده به لاتين
Abstract
One of the critical issues in disaster management needing noting is design and management of blood supply chain. It is importance to present an integrated planning composed of collection, inventory and distribution control. It should be pointed that planning and making decision is extremely impossible without regard to the features of blood perishability and compatibility of blood types.
As a result, a robust mathematical programing is proposed in this thesis under condition that the value and reliability of parameters involved in problem are uncertain. This model locates and fortifies facilities of different echelon of blood supply chain and coordinating supply of blood demand with capacity limitations and structural and operational requirements. The objectives of the current study are to minimize risks of blood shortage and wastage, minimize uncovered blood demand, minimize the maximum traveled distance to response to affected areas’ blood demands as well as minimize cost. Moreover, this model aims to maximize the reliability of blood supply chain and the robustness of solution. To consider real disaster situations, the probability and severity of damage to people and disruption in facilities are contemplated. Then, to solve the complicated model, a Genetic algorithm is designed. Also, the parameters of the proposed algorithm are set and the algorithm is validated using the data for a case study. Finally, the performance of the model over input parameters is analyzed.
Keywords: Blood supply chain, disruption, facilities fortification, Z-numbers and risk
