Study On Route Optimization Of Urban Cold Chain Logistics

With the improvement of living standards and the constant development of various typesof e-commerce industry,people's demand for fresh products is constantly increasing.As a special form of industry,cold chain logistics has also received more attention.However,the cold chain logistics industry has exposed more and more problems in the domestic development process.The optimization of urban cold-chain logistics path is an important issue of cold-chain logistics distribution.High logistics operation cost is one of the key factors restricting the development of cold-chain logistics.At the same time,from a long-term perspective,cold chain logistics needs to improve the service quality of the industry to attract customers as a new industry.Based on this,from the perspective of cost savings,it is very beneficial for logistics companies,customer groups and the ecological environment that we use path optimization to reduce the cost of cold chain logistics as a breakthrough point,correctly and reasonably plan the transport path of vehicles,reducing the transportation costs of vehicles,and improving the economic efficiency of enterprises and customer satisfaction.The main content of this article is as follows:(1)The establishment of a minimum cost model for cold chain logistics.This paper first analyzes the characteristics of cold-chain logistics,describes the research status of the cold-chain logistics path optimization at home and abroad,and uses the literature research method,quantitative and qualitative research methods to study the key elements to the cold-chain logistics path optimization problem.After considering the impact of time and quality factors on the distribution of cold chain logistics,and analyzing the fixed costs,transportation costs,waiting costs,penalty costs,cargo damage costs,and refrigeration costs generated in the entire logistics distribution link,a mathematical model of the vehicle routing problem with cost minimization as the objective function was established.(2)The solution of the cold chain logistics route optimization model.After discussing the shortcomings of the traditional genetic algorithm,the application method of the genetic algorithm based on the elite selection strategy was discussed,and the cold chain logistics route optimization model was solved.In the empirical analysis,the actual data of X-Frozen Foods Company in Xi'an,Shaanxi Province was taken as an example to carry out modelsolution and verification.The results show that the path optimization model established in this study is more in line with the actual situation of cold chain logistics distribution,and the improved genetic algorithm in this paper has feasibility and certain advantages in solving such problems.In summary,this paper presents an analytical method that can solve the problem of cold chain logistics path optimization through the establishment of the model and the design of the algorithm.After being verified by examples,it can provide certain reference value for practical problems.