Optimization method of emergency logistics network in the initial post-earthquake stage considering multiple factors and the case analysis

Abstract

Based on the traditional reliable location problem and the facility location-allocation problem (FLAP), this paper firstly considered the factors of staged characteristics, facility disruption scenarios, multiple types of fuzzy demand, and facility capacity limitations in the initial stage of post-earthquake rescue. Then, a location-allocation model of emergency facilities suitable to be applied in the initial stage of post-earthquake rescue was established. On this basis, considering the characteristics of the model, a hybrid genetic algorithm with integer coding was designed. Finally, taking the Wenchuan Earthquake as a case, numerical simulation and analysis were conducted, which verified the effectiveness of the model and algorithm proposed in this research. The results of this paper can optimize the system target by more than 21.6%; even if there is no emergency facility disruption after the earthquake, the difference between the optimization result and the optimal target value is only 8.3%.