Coordinated Network Location Allocation and Distribution Route Optimization of Preposed Warehouses Providing Differential Service Portfolios
With the rapid development of the logistics distribution system,improving the efficiency of ter-minal delivery in the logistics chain and the speed of order delivery has become a key concern for logistics companies,while terminal delivery has always been one of the most hotly studied areas for logistics efficiency augmentation.In response to the increasing pressure brought by personalized and diversified delivery de-mands,in this paper,we look at the preposed warehouse mode to satisfy the differentiated customer demand for self-pickup and home delivery.Next,we design a demand-driven delivery network system and its math-ematical model,which integrates the location of the terminal delivery points into the logistics chain of the customer delivery process.Then we propose a mixed variable neighborhood search algorithm based on the differential neighborhood strategy to solve the model.The effectiveness of the algorithm is verified through multiple numerical examples of different scales,and the results show that:(1)Designing a high-quality loca-tion selection algorithms can help classify customer points and cluster customer points of complex distribu-tion patterns,and a high-quality step-by-step optimization and construction algorithm can improve the op-timization efficiency of subsequent algorithm iterations;(2)Compared with traditional heuristic algorithms,the differential mixed variable neighborhood search algorithm for path optimization has good performance and certain advantages.(3)By adopting a differential delivery service mode and coordinating the optimiza-tion of preposed warehouses and delivery paths,we can effectively reduce operating cost and improve service level.The model proposed in this paper has led to significant cost reduction and efficiency improvement effect on improving logistics terminal delivery.In terms of customer satisfaction,it can perform customer stratifica-tion management based on the customer satisfaction model and optimize service methods by dynamically ad-justing the number and location of preposed warehouses to improve the overall customer satisfaction.In terms of the location allocation of the preposed warehouse,it can subject warehouse capacity to dynamic management based on changes in customer demand points to improve the utilization rate of the warehouse and reduce delivery cost.In terms of path optimization,the hybrid heuristic algorithm adopted under the model can yield highly efficient and high-quality results.Researches in the future can examine cases with dy-namic change in customer point coordinates and with uncertainty in customer demand to further improve the flexibility of terminal delivery services.
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