Research on the distribution and transportation of emergency materials under public health emergencies

In order to reduce the shortages caused by public health events, emergency supplies must be reasonably allocated and transportation routes must be scientifically planed to maximize the rescue effect of emergency supplies. A two-stage model of emergency material distribution-transportation was modeled, and a genetic algorithm was designed to solve combining with the relevant data of COVID-19 in Xi'an. The results show that there is a negative correlation between the shortage effect and the fair distribution of objective function in the distribution model, as well as between the transportation cost and the delay cost of objective function in the transportation model.