Under the background of COVID-19 epidemic, the domestic quarantine policy has led to a surge in demand for fresh supplies in the community. The insufficiency of resuming work has led to the limited distribution capacity of fresh food enterprises, and the transportation of fresh materials has faced more challenges. Based on the distribution time limit of fresh food enterprises, considering the preservation time of fresh supplies and the protection time of epidemic prevention supplies, this paper takes the community where consumers are located as the demand point and builds up an optimization model for the transportation path of fresh supplies under the background of pandemic. According to the model, a genetic algorithm is designed to solve the problem quickly. On the premise of completing the distribution task, an optimal transportation plan is obtained so as to minimize the enterprise's distribution cost. At the same time, changes of the number of vehicles required under different demand conditions are analyzed and it is shown that the number of vehicles required does not increase with the demand.

COVID-19 epidemic  /  transport of fresh supplies  /  path optimization model  /  genetic algorithm