A new stochastic location-allocation emergency medical services healthcare system model during major disaster

From the most important issues in the design of large logistics network in times of crisis are providing a timely quick reaction for treating of injured people and the rapid distribution of medicines and medical equipment. In this paper, a multi-objective model is presented that aims to determine the location of transfer points and hospitals to provide timely quick reaction for treating injured people as well as to determine unreliable and reliable depots for the distribution of medicines and medical equipment. Given that the dynamic nature of the great crises, the parameters of the model has considered as uncertain and dynamic. To solve the model, the hybrid meta-heuristic algorithm is proposed which is composed of simulated annealing algorithm and CPLEX. By comparing the results can be seen that the proposed meta-heuristic hybrid algorithm is efficient.