Modelling and optimizing a blood supply chain, considering disaster impacts, blood compatibility and shelf-life, under uncertainty using meta heuristics

Provision of perishable commodities with vital impacts, such as blood, during disasters, has alwaysbeen serious concern in real world. This Study presents a bi-objective multi-period mathematical modelfor a blood supply chain with ۵ echelons, in disaster, aiming to minimize total costs while maximizingreliability of routes, considering blood groups compatibility and shelf life. Critical decisions includingallocation of donor groups to collection centers, collection facilities location, inventory level infacilities, shortage and wastage in facilities, blood flow between network echelons, estimating requireddifferent types of transportation means and establishing best routes between blood centers and hospitalsare made by presented model. As in reality, blood transfusion organizations may face environmentaland parametric uncertainty, to propose an applicable model, robust possibilistic chance constraintprogramming (RPCCP) approach is used to formulate uncertainties in the main parameters as well asconsidering the destruction impacts in model. Then the proposed model is solved using a novel metaheuristic algorithm, multi-objective grey wolf optimizer (MOGWO) and has been implemented in casestudy of Tehran.

Keywords:

Blood Supply Chain , Disaster Management , Robust Possibilistic Chance Constraint Programming , Blood compatibility , Multi-objective grey wolf optimizer (MOGWO)