Fresh Contactless Distribution Location And Route Optimization

Fresh food delivery is rapidly transforming from traditional logistics to modern logistics,and contactless delivery using unmanned vehicles is becoming an inevitable trend.However,there are many problems with current contactless fresh food delivery,including low delivery efficiency,inability to guarantee fresh food quality,and high delivery costs.Reasonable selection of unmanned vehicle parking locations,distribution center locations,and delivery route planning are important steps in improving the efficiency and quality of contactless fresh food delivery while reducing delivery costs.Therefore,this paper focuses on the location and path planning problems in contactless fresh food delivery,including inappropriate unmanned vehicle parking locations,suboptimal distribution center locations,and unreasonable delivery routes.The main research content includes:(1)Construction of a contactless fresh food delivery location selection modelA location selection model is constructed from two dimensions: unmanned vehicle parking locations and contactless fresh food delivery centers,and the selection of unmanned vehicle parking locations and contactless fresh food delivery centers is solved.Through in-depth analysis of the characteristics of contactless delivery location selection,a two-stage model and its solution are constructed.First,by analyzing and researching unmanned vehicle parking locations,the set-covering method is determined to be suitable for selecting unmanned vehicle parking locations,and simulated annealing algorithm is used to solve the unmanned vehicle parking selection problem.Then,the distribution center location requirements are analyzed,and the K-means algorithm is used to solve the distribution center location selection problem.A two-stage model for contactless fresh food delivery is constructed to solve the location selection problem.(2)Construction of a contactless fresh food delivery path planning modelA contactless fresh food delivery path planning model is constructed,and a multi-chromosome genetic algorithm with an elite retention strategy is designed to solve the model.Based on the unmanned vehicle parking locations and distribution center locations and with the objective of minimizing delivery costs,fixed costs of unmanned vehicles,delivery costs,refrigeration costs,and fresh product damage costs are fully considered.A multi-chromosome genetic algorithm with an elite retention strategy is designed to plan the delivery route,which includes a penalty cost component.(3)An empirical study of contactless fresh food delivery location selection and path planning was conducted using Shanghai Hongkou as a case studyUsing Shanghai Hongkou as a case study,the location selection of unmanned delivery vehicle parking,distribution center,and delivery route planning were empirically analyzed.The results show that the selection of unmanned delivery vehicle parking locations effectively reduces the delivery distance and saves delivery time,while the selection of distribution center locations minimizes the distance between the distribution center and all unmanned vehicle parking locations,reducing distribution center construction and operation costs.The path planning of unmanned vehicle delivery effectively reduces the delivery distance,improves delivery efficiency,and reduces delivery costs.The model established in this article for unmanned vehicle parking location selection,distribution center location selection,and path optimization can provide strategic basis for contactless fresh food delivery in terms of parking location and distribution center location selection,as well as path planning.