Research And Implement Of Logistics Resource Optimal Allocation Based On Shared Express Network

With the rapid development of e-commerce,the express logistics industry is facing new challenges and opportunities.Logistics resource sharing is an important way to promote the transformation of circulation mode and consumption upgrade.In view of the problems of fragmentation,non-intensification and multi-subjects of current express logistics services,this thesis will study the optimization of logistics resources and build a full-chain collaborative shared logistics resource integration model to provide better scheduling scheme for long-distance transportation and intra-city distribution,design and develop logistics resources optimization configuration system to achieve collaborative sharing and intelligent matching of logistics resources.The specific work includes the following aspects:Aiming at the problems of low utilization rate of traditional express logistics resources and imbalance between supply and demand,this thesis defines a shared express network for multi-subjects combined with the division of different network levels by analyzing the characteristics of single-subject express network structure.Combining the optimal allocation of different types of logistics resources,the thesis constructs a logistics resource integration model based on a shared express network,and establishes core business process models from the perspective of shared backbone network collaborative transportation and shared distribution network joint distribution resource optimization scheduling.In order to solve the problems of high cost and poor timeliness of express long-distance transportation,this thesis considers the combination of multiple transportation service modes,multi subjects of logistics selection and transportation routes planning comprehensively,and proposes a collaborative transportation resource optimization configuration model based on service combination.With the goal of minimizing the total cost,the model looks for a task path meets constraints.The thesis designs heuristic algorithm,ant colony algorithm and genetic algorithm for the model,and analyzes the solution quality of various intelligent scheduling algorithms through experiments.Combining the characteristics of short-distance delivery,small batch and high-frequency round-trip delivery within the city,this thesis establishes an optimal allocation model of city distribution capacity resources based on joint distribution with the dual goals of minimum total distribution cost and highest total distribution profit,which is different from traditional city distribution model.Heuristic algorithm and variable neighborhood search algorithm are used to conduct comparative tests on the simulation experimental data aiming at the two problem models,and the effectiveness of models and the overall performance of algorithms are analyzed based on the experimental results.On the basis of the above research,the thesis designs and develops a logistics resource integration optimization configuration system,conduct s demand analysis through use case models and domain models,and designs the system architecture,various functional modules and core databases.Starting from the three core businesses of logistics resource integration,collaborative transportation and joint distribution,the thesis elaborates system implementation functions,tests the various functional modules and overall performance of the system,and verifies the application of different intelligent algorithms proposed in the thesis.