The Research On Distribution Routing Optimization Of Urban Cold Chain Logistics

With the rapid development of the national economy and the continuous improvement of people’s living standards,cold chain products such as raw,fresh and pharmaceutical products have become an indispensable and important part of people’s daily life.This has undoubtedly promoted the rapid development of China’s cold chain logistics industry.At the same time,cold chain logistics and distribution costs are high,and the development of cold chain technology and equipment is lagging.The rational planning of the cold chain logistics distribution path is very important to reduce the distribution cost and promote the development of the cold chain logistics industry.At this stage,a lot of scholars have studied the distribution path planning problem,but taking the actual road congestion into consideration But very few,so this article based on the comprehensive consideration of the actual road congestion and customer time needs to select the topic of the urban cold chain logistics distribution path optimization research,mainly includes the following:First,by reading a large number of relevant domestic and foreign literature and materials,the related theories of cold chain logistics and vehicle routing problems were briefly explained.Then analyze and summarize a number of factors that affect the distribution cost of cold chain logistics and quantify them in detail,including vehicle fixed costs,vehicle energy costs,time window penalty costs for delivery vehicles that fail to provide services within the customer’s expected time,and The cost of cargo damage caused by quality changes during the distribution of cold chain products,an urban cold chain logistics distribution path optimization model with the lowest cost as the goal was established.Then analyze the basic idea of genetic algorithm and master its solution steps.According to the characteristics of the cold chain logistics distribution route optimization model,an adaptive genetic algorithm is designed to solve the model.Finally,a specific calculation example is designed,and an algorithm program is written in MATLAB to simulate the solution.The optimal distribution scheme considering real road conditions and the optimal distribution scheme without real road conditions are considered.The two distribution schemes are compared to verify the method’s effectiveness.feasibility.