| With the rapid development of e-commerce,and related to the express industry has entered a rapid development channel.But a lot of problems are leaking out,For example,the Electrical business Logistics terminal distribution problem,peremptory became an industry problem.Compared with the electric business enterprise,the terminal distribution service is the main way to reach customers.In the distribution service process,the enterprise can collect a large number of data from the client,These data are of great value and are of great significance for accurate market forecasts,supply chain management,and decision making by managers.In the big Data age,the value of the "last mile" will be more important.Through combing the literature,it is found that the study of scholars is more focused on the factors of certainty,and there are relatively few literatures on the uncertainty factors.There are few studies on the influence of time window on uncertain factors.Therefore,this paper will be the research direction of the electronic carrier Express delivery path decision with uncertain time window.This paper analyzes the factors that make up the VRP problem,such as distribution center,distribution vehicle,vehicle,time,speed,etc,and analyzed the basic VRP problem model,According to the characteristics of the electric Dealer Express delivery,the product is small in volume,light in weight,high in time requirement,and the basic assumption is put forward.The assumptions of the time window are described in detail,Describe customer satisfaction with uncertain time window constraints,With the highest customer satisfaction,the lowest cost and the shortest distance as the optimization goal,the construction of the electric dealer Express delivery path decision with uncertain time window is constructed.Finally,through the field investigation and reference map for data collection,to carry out a certain processing,select the appropriate parameters,using ant colony algorithm to solve the model.In order to verify the validity of the model,a region of Tianjin Bin hai New area was selected as an example.In order to verify the validity of the model,genetic algorithm was used as contrast experiment and the results were analyzed.The conclusion of this paper can provide the theoretical basis for the electric dealer or express company to carry on the delivery path decision,which has some practical application value and is also a supplement to the path optimization theory. |