A Multi-Objective Optimization Model for Relief Facility Location in Crisis Conditions

This research was conducted to study the issue of relief facility location hierarchically by consideration possible road closure during crisis conditions, safety, and arrival time facilities under disaster circumstances. High costs are allocated for deployment in a suitable meet demands injured people. Therefore, location-allocation emergency should be considered way use them long-term periods. To this end, extant designed multi-objective optimization model minimize pre-disaster including use, post-disaster such as cost transportation in-network roads. Moreover, innovative part studied examined safety reduction taken have critical affected areas. investigate functional accuracy mathematical model, numerical example with small dimensions solved using CPLEX Solver, required sensitivity analysis described. As is an NP-hard issue, two meta-heuristic algorithms were used solve representations real examine analyses effectively. Results showed that dragonfly algorithm had highest efficiency compared other developed algorithms. The obtained results can efficient managerial tool management organizations involved crisis.