Optimization of cold chain logistics distribution path based on improved genetic algorithm

Abstract

As people's requirements for online fresh products continue to increase, the logistics operation of fresh products is faced with the problems of large consumption, low cold chain circulation, low freshness preservation rate, and high distribution costs. Logistics operations are more complex and changeable. Therefore, the article focuses on discussing how to meet the timeliness and freshness of the fresh food cold chain logistics distribution system and minimize the logistics distribution volume of the fresh food mall under the condition that the complexity of the city makes the operation speed of its logistics distribution network change at any time. The research include: 1) Based on the analysis of the characteristics of fresh commodities, the problems of high loss rate of fresh commodities, low distribution rate of frozenlogistics, low freshness rate, and high distribution cost are raised. Time changes produce different phenomena. 2) Based on the complexity of urban roads and the characteristics of fresh products, six penalties for vehicle driving, transportation fuel consumption, refrigeration during handling and loading, carbon dioxide emissions, consumer evaluation of novelty, and fuzzy time window satisfaction were established. The sum of the total costs of the two modes is the smallest fresh cold chain transportation path optimization mode