关键词: 冷链末端配送；路径优化；时变路况；遗传模拟退火算法

Abstract: The scale of cold chain logistics market is large, but the corrosion rate of products is higher than that of developed countries due to the backward refrigeration equipment in the transportation process in China. In order to effectively improve the transportation quality of cold chain logistics and improve customer satisfaction, this paper analyzes the problem of terminal distribution path of urban cold chain logistics, combined with the current situation of terminal distribution of cold chain logistics, and considers the damage of fresh products based on the actual situation of urban roads (normal road conditions, congested road conditions), distribution time and other influencing factors, the cold chain end distribution models under two road conditions are constructed respectively. The fuzzy time window is used to describe customer satisfaction, and the objective function with the shortest distance, the lowest cost, the best timeliness and the highest customer satisfaction is established. Finally, taking the business scenario of the road section around the wild goose pagoda in Xi'an as an example, the terminal distribution of primary cold chain logistics is simulated, and the genetic simulated annealing algorithm is used to solve the models of normal road conditions and congested road conditions. The results show that the cost of congested road conditions is higher than normal road conditions under the same satisfaction, so enterprises need to reasonably optimize the route. At the same time, it is proved that this method can achieve the purpose of reducing cost and increasing efficiency.

Key words: Cold chain logistics terminal distribution; Path optimization; Teal time traffic information; Genetic simulated annealing algorithm