Research On Location And Route Optimization Of Emergency Medical Supplies Distribution Center Based On Bi-level Programming

In recent years,accidents,natural disasters and public health incidents have occurred frequently.Among them,public health incidents have caused great damage to people’s life safety and social economy because of their strong contagiousness.In this regard,only emergency medical supplies can be provided to infected areas in a timely manner to reduce the losses.In the rescue process,how to choose a suitable location to establish an emergency distribution center and distribute emergency medical supplies according to the urgency of the demand in the shortest time has become a key issue that decision makers need to consider.This thesis takes the major public health events as the research background,and studies the location and route optimization of the emergency medical supplies distribution center,aiming to improve the rescue efficiency and enrich the relevant theories in the field of emergency logistics.Firstly,the influencing factors of demand urgency are classified and sorted,and an evaluation index system is constructed.The B-type correlation degree-TOPSIS evaluation method is used to quantitatively solve the demand urgency,and the hierarchical analysis method and entropy weight method are integrated to determine the eventual weights.Secondly,based on the summary of existing study works at home and abroad,a bi-level programming model is built to solve the issues of location selection and path optimization of emergency medical supplies distribution centers,introducing demand urgency,formulating the penalty cost of positive reinforcement incentives and negative reinforcement incentives subsidy costs.Finally,a two-layer solution algorithm is designed,which improves the conventional genetic algorithm and ant colony algorithm.The validity of the model and the designed algorithm is verified by an example in MATLAB.The final research results show that: with less cost and time increase,priority distribution can be achieved in infected areas with relatively high demand urgency,thereby improving the current weak links,and completing the rescue work quickly,scientifically and economically to provide certain theoretical support for decision makers to formulate site selection-vehicle transportation plans.