Research on Simultaneous Pickup and Delivery Path Optimization Considering Customer Value
With the rise of the e-commerce industry,the customer's requirements for logistics timeliness continue to grow.How-ever,in practice,the enterprise is too concerned about the control of the total cost,but to a certain extent,ignored the high-value cus-tomers on the quality of the service and timeliness of the high degree of demand.Accordingly,this paper explores the problem of pickup and delivery path optimization considering customer value classification for the status quo such as declining customer satisfaction and lack of prioritization strategy.A customer value classification method is constructed based on the characteristics of customer pickup and delivery demand to evaluate their current and potential value,and the customers are divided into three categories:VIP customers,ma-jor customers and general customers,and different satisfaction sensitivity coefficients are set accordingly,so as to construct a dual-goal pickup and delivery route optimization model with the lowest logistics cost and the highest customer satisfaction.Based on the character-istics of the model,an improved NSGA-Ⅲalgorithm is designed and combined with the entropy weight method for solution.The results show that the constructed model and proposed algorithm can help enterprises achieve the best balance between the dual goals of impro-ving customer satisfaction and reducing costs in actual operation.
simultaneous pickup and deliverycustomer valuedual-goal optimizationNSGA-Ⅲ algorithm
NETL
NSTL
万方数据
