Research On Distribution Path Optimization Of Jiaxing Supermarket Based On Ant Colony Algorithm

In recent years,with the development trend of economic globalization,production globalization and sales globalization have become more and more common.China's supermarket chain enterprises not only have to compete fiercely with other domestic counterparts,but also rely on international large-scale chain enterprises.Gaobeidian City Jiaxing Supermarket is the main pillar of Jiaxing Commerce and Trade Group.After years of development,Jiaxing Supermarket has become a well-known star enterprise in Gaobeidian City and surrounding counties and cities.However,the author found in the field research that Jiaxing Supermarket had serious problems in the distribution process: the selection of the delivery route was not scientific,the vehicle was not planned,and the logistics personnel were not well-configured.This paper studies the optimization of the distribution route of Jiaxing Supermarket,aiming to help Jiaxing Supermarket solve the problems in distribution logistics and remove the obstacles to the development of Jiaxing Supermarket.Firstly,the distribution status of Jiaxing Supermarket was investigated,and then the distribution path optimization model of Jiaxing Supermarket was constructed based on the survey results,and the ant colony algorithm was used to solve the problem.In order to obtain the best results,the ant colony algorithm has been improved.Finally,the Matlab software simulation experiment is used to obtain the distribution route optimization plan of Jiaxing supermarket,which shortens the distribution mileage of Jiaxing supermarket,reduces the delivery time and reduces the logistics cost.It increases the profit of Jiaxing Supermarket and provides a reference for solving other related problems.