Assistant decision method for intelligent dispatch of emergency medical materials

How to improve the transportation efficiency of emergency medical materials is the key research issue of emergency logistics A case of novel new coronavirus pneumonia (COVID-19) outbreak in Wuhan earlier this year was taken as research material, this paper selected the real road network from GIS as the simulation testing environment, built the simulation object through the agent model to simulate the transportation of emergency medical materials on a comprehensive simulation platform-Anylogic based on dynamics Taking the order completion time of the required materials at the demand point as the index, the feasible scheme was input in turn for simulation, and the simulation data was used to output the intuitionistic comparison and selection results The results show that: through the location comparison of distribution centers, the optimal allocation scheme can be obtained;in the case of sufficient transport capacity, blindly increasing the number of distribution centers can't significantly improve the efficiency;in the case of insufficient transport capacity, priority to increase the number of vehicles is a better choice than reasonable allocation of vehicles The scheme evaluation simulation model established in this paper has strong operability and can be adjusted according to the actual situation It can provide reliable data support for decision makers and has certain practical significance © 2020 ACM