Research And System Implementation Of Joint Distribution Resource Optimal Scheduling Based On Network Node Integration

With the rapid development of e-commerce,the express delivery industry has ushered in new opportunities.Urban distribution as an important link in express delivery logistics will directly affect the overall express delivery efficiency.Aiming at the current situation of multi-agents of urban express delivery services,fragmentation of distribution resources and low distribution efficiency,the joint distribution model is applied to urban express delivery,the urban joint distribution business model is constructed,and the terminal network node resources of different service entities are integrated in this paper.The joint distribution resource optimization scheduling model and algorithm for network node integration are proposed,and the corresponding system is developed on this basis.Specifically,it includes the following aspects:(1)According to the characteristics and existing problems of urban express logistics distribution,under the existing joint distribution mode,the urban express joint distribution model is constructed by designing the urban express joint distribution process and summarizing the core elements of urban express joint distribution.The participation role of the joint distribution resource optimization scheduling system is analyzed,and the requirements of the entire joint distribution resource optimization scheduling system are analyzed through the use case diagrams,system information model diagrams and business flow diagrams.(2)Aiming at the problem of low utilization of network node caused by the overall distribution of traditional customer clusters,a network node optimization integration model for detachable customer clusters is proposed in this paper.For the model,the immune genetic algorithm and the simulated annealing algorithm are used to solve the problem respectively.The quality of the two algorithms are compared and analyzed experimentally.At the same time,the experimental analysis is compared with the case where the customer cluster is not detachable to verify the proposed model effectiveness.(3)For the joint distribution mode of urban express based on network node integration,a joint distribution resource optimization scheduling model different from the traditional vehicle routing problem is constructed.The optimization goal is to minimize the number of vehicles used and the distribution path.For this model,a network node value-driven heuristic algorithm and the variable neighborhood algorithm are proposed and used to compare and analyze the quality of the two algorithms.(4)For the above research,the corresponding system is developed,the overall architecture of the system and the three functional modules of basic data management,network node integration and joint distribution resource optimization scheduling are designed.The system is implemented and the application verification of the above core research points are completed.