Research On The Optimization Of Jingdong Fresh Food Logistics Distribution Path Based On Electric Logistics Vehicle

In recent years,with the rapid development of urban distribution and the upgrade of people’s consumption methods,the volume of urban logistics distribution and the number of vehicles for distribution have soared,the problems of urban traffic congestion,energy consumption,and environmental pollution have been particularly prominent.Faced with these problems,electric logistics vehicles can greatly improve the "external uneconomic" problems generated in the process of urban distribution due to their energy-saving and environmental protection features of low energy consumption and low pollution,and is favored by all walks of life.This also prompted many logistics companies to replace the transportation vehicles in urban distribution from traditional fuel vehicles to electric logistics vehicles.While facing "cost reduction and efficiency increase",Jingdong is also driven by a sense of social responsibility and began to use electric logistics vehicles for urban logistics distribution,however,due to the current problems in the delivery of electric logistics vehicles,such as short driving range,long charging time,and imperfect charging technology,resulting in high total distribution costs and low actual operating efficiency.Therefore,this article takes Jingdong fresh food as the research object,and aims to optimize the distribution path of Jingdong fresh food electric logistics vehicle,and studies the route optimization problem of Jingdong fresh food electric logistics vehicle,in order to effectively solve the shortcomings in the distribution of electric logistics vehicles,improve the efficiency of vehicle distribution,and reduce the distribution cost of Jingdong electric logistics vehicles,the main work of the paper is as follows:First of all,analysis of Jingdong fresh food logistics distribution model,the practical application characteristics of electric logistics vehicles and the application status of electric logistics vehicles in urban distribution,and the necessity of urban distribution of Jingdong electric logistics vehicles is proposed from the perspective of the development needs of electric logistics vehicles and the relevant policies issued by the country.Secondly,based on the analysis of the charging needs and various costs of electric logistics vehicles,comprehensive consideration is given to the charging capacity,load capacity,and customer time window constraints of electric logistics vehicles,build a model with the minimum total distribution cost as the optimization goal.Then,designed the insertion algorithm and genetic algorithm in line with the model solution,choose the insertion point of customer point and charging point through the insertion algorithm to obtain a high-quality initial solution,the optimal distribution route is solved by genetic algorithm,and the selection operator and crossover operator of genetic algorithm are improved to accelerate the algorithm convergence speed.Finally,select 7fresh,the first fresh supermarket listed on Jingdong,to analyze the example,use MATLAB to solve the two scenarios of partial charging strategy and full charging strategy respectively to verify the feasibility of the model and algorithm.And by comparing the path optimization results under the two charging strategies,it is found that the partial charging strategy can enable electric logistics vehicles to increase the driving range by reducing the charging amount,reduce the total delivery time,and reduce the total distribution cost.To a certain extent,it makes up for the difficulty of charging and the short driving range in the distribution of electric logistics vehicles,and improves the efficiency of urban distribution of electric logistics vehicles.In this thesis,there are 27 figures,20 tables,and 52 references.