ABSTRACT
This article focuses on the deficiencies in the construction of emergency logistics and material guarantee systems that have been exposed during the prevention and control of the coronavirus epidemic. Establish an emergency logistics supply system to solve the current slow emergency response and other problems. Heavy. This paper takes the vehicle distribution problem as the background and uses the ant colony algorithm to solve the emergency logistics distribution vehicle scheduling model. On the basis of a time window, the transportation distance and cost of each node of the emergency system are considered to construct a model. According to the characteristics of the model, an ant colony algorithm solution method is designed, and an improved analysis is made for ant path selection. © 2021 IEEE.