Research On Optimization Of W Company Distribution Path Based On Electric Logistics Vehicles

Along with the rapid development of China’s economy and urbanization,supermarket chains have become an important place to meet people’s needs for necessities,and its distribution activities are increasing,and the number of its distribution vehicles is also showing a rapid growth trend.Green logistics to go mainstream due to increased global warming,which makes many supermarket chains adopt electric logistics vehicles to complete urban distribution tasks.w company is a representative supermarket chain in the industry located in heze city,with many trade chain stores in southwest luzhou.In recent years,Company W has started to use electric logistics vehicles to deliver to its directly operated stores,but there is still much room for improvement due to the inadequate route design,vehicle load capacity and volume utilization.In view of this,this paper investigates the distribution route problem of W Company using electric logistics vehicles for its directly operated supermarket chain stores.Based on the above background,this paper firstly conducts an in-depth analysis of the research dynamics of the distribution of supermarket chains and the path problem of electric logistics vehicles,reviews the research dynamics,and proposes the starting point and innovation point of this paper on this basis,so as to provide the corresponding theoretical support for the preparation of this paper.Secondly,based on the actual situation of distribution of electric logistics vehicles of W company,a mathematical model consisting of relevant costs is constructed in order to minimize the total cost of distribution.The model considers the charging cost incurred by the electric logistics vehicle for supplementary energy and the environmental cost generated through thermal power conversion,and creates an EVRP model that considers both the time window penalty cost and the environmental cost according to specific constraints.In order to overcome the shortcomings of the traditional genetic algorithm,this paper proposes a new and improved method that organically combines the selection operation,reversal operation and migration strategy considering the elite retention strategy in order to achieve better results.Finally,the model of electric logistics vehicle distribution path optimization problem of company W is solved in MATLAB by using traditional genetic algorithm and improved genetic algorithm to optimize the initial distribution path of company W,and the effectiveness of the model and algorithm proposed in this paper is proved.The research in this paper has certain theoretical and practical significance.In the context of China’s vigorous support for urban green low-carbon logistics,the actual costs incurred are integrated,and the distribution path optimization model of electric logistics vehicles considering soft time windows and environmental costs is established,which is more in line with the enterprise reality than the general EVRP problem,and suitable relevant algorithms are designed to solve the problem according to the model,and the application of such models in actual enterprises is explored.This paper explores the application of such models in practical enterprises and enriches the research on urban supermarket distribution path optimization using electric logistics vehicles.At the same time,the research results of this paper are useful for enterprises using electric logistics vehicles for urban distribution,which is conducive to improving enterprise efficiency and reducing pollution emissions in urban distribution,so that society can move toward green and sustainable development and further accelerate the process of reaching the dual goal of carbon attainment and carbon neutrality in China.