Abstract
At present, the world's public health emergencies are becoming more and more frequent, bringing great threats to people's life and health safety and economic development. In the new crown pneumonia epidemic that affected the world in 2020, due to the shortage of medical resources and poor transportation of materials, the comprehensive control of the epidemic encountered great difficulties. In order to minimize the impact and loss caused by public health emergencies, it is necessary to study the location of emergency logistics centers and transportation route planning. This paper studies the positioning-routing problem in the emergency logistics system after public health emergencies, applies genetic algorithm and the Traveling Salesman Problem (TSP) to solve the positioning-routing problem in this paper, takes the current Wuhan map as an example, combines the p-center theory to take the location of each new coronary pneumonia directional receiving hospital as the basis for determining the material distribution center and transportation route, and uses actual cases to study the positioning-route problem.
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