Bi-level Optimal Scheduling of Emergency Materials Considering Multimodal Transport

In order to ensure that emergency materials can be transported to the material demand points in the shortest time within the golden rescue time after emergencies, and to ensure the fairness of material distribution, a bi-level optimal scheduling model of emergency materials considering multimodal transport is constructed in this paper. The upper model takes the shortest transportation time as the objective function by considering multimodal transport. The lower model takes the minimum variance of emergency material distribution at each material demand point as the objective function by considering the fairness of emergency material distribution. The improved genetic algorithm is used to solve the bi-level optimal model. Compared with the classical genetic algorithm, the improved genetic algorithm is found to be effective. Finally, a case study is conducted to verify the rationality of the model. The results show that the emergency materials can be transported to the material demand points in the shortest possible time according to the requirements of decision-makers through this model. Besides, the fairness of emergency material distribution can be guaranteed and can provide further emergency decision-making reference for decision-makers.