Optimization of emergency rescue logistics dispatch based on SEIR model
WU Yaqiong;HAN He;WANG Yajing;School of Marxism, Nanjing University of Information Science & Technology;School of Management Science and Engineering, Nanjing University of Information Science & Technology;Shuozhou Meteorological Bureau of Shanxi Province;
Infectious diseases are a major threat to human security. Infectious diseases can cause serious damage to the victims. Therefore, it is the most urgent thing to grasp the demand for drugs and optimize logistics dispatch of emergency rescue in disaster areas. In this paper, firstly, we use the susceptible-exposed-infected-recovered(SEIR) model to simulate the diffusion mechanism of infectious diseases and determine the number of infected groups in humanitarian relief phase. Secondly, a multistage mixed integer programming model for the humanitarian logistics and transport resource based on epidemic pattern of infectious disease is proposed. The model optimizes the route selection of rescue vehicles and the allocation of drug resources. Thirdly, the linear programming problem is solved by Benders decomposition algorithm. Finally, we use a case to prove the validity of the model and algorithm. The paper provides scientific decision-making basis for emergency rescue decision-makers, and has important theoretical significance and application value.