Research On Capacity Scheduling Based On Cloud Logistics Platform

With the development of Internet cloud computing technology,"Internet plus" efficient logistics has been put forward.The logistics industry is becoming more and more information-based and platform-based,and the competition for efficiency and efficiency is becoming increasingly fierce.Cloud logistics platform uses modern information technology to get rid of the traditional logistics mode.It can intelligently make logistics plans,improve business processes,make full use of limited resources,and improve the efficiency,efficiency and competitiveness of enterprises.Using the resource sharing and information exchange of logistics system,making full use of transportation resources,integrating social transportation capacity,making intelligent scheduling plan through computer,and solving the reasonable scheduling of transportation resources are the key problems at present.The research of this issue is of great significance for accelerating the construction of cloud logistics platform,improving the efficiency of transport process,promoting the reduction of logistics cost,and integrating resources in China's logistics industry and developing logistics industry under the "Internet plus" environment.Based on the key technology research and industrial projects of cloud logistics and its big data service,this paper provides a solution of capacity scheduling for the existing construction level of cloud logistics platform.This paper makes an in-depth study on the process of picking up and trunk transportation scheduling in the cloud logistics platform mode,considering a series of important factors under the cloud logistics platform,such as the transportation cost,time cost,vehicle full load rate,multiple models,multiple distribution centers,drop and hang transportation mode,dynamic large-scale information,and puts forward a multi-objective transportation capacity scheduling model for picking up and trunk respectively.In the model of picking up capacity scheduling,this paper uses two-stage solution strategy to solve the multi distribution center scheduling problem,and uses KNN clustering and genetic algorithm to solve the model to get the capacity scheduling scheme.The results show that there are great improvements in reducing costs and improving the utilization rate of capacity resources and response time,which proves the effectiveness of the model.In the transportation capacity scheduling model of trunk line,this paper considers the throw and hang transportation mode in combination with the actual situation,proposes to schedule idle vehicles to make full use of the transportation capacity,and uses genetic algorithm to solve the model to get the scheduling scheme,the results show that the model has good optimization effect,and can strengthen the control of transportation cost and transportation time.The transportation capacity scheduling models proposed in this paper are all derived from the practical problems in the logistics link of the cloud logistics platform,which has a positive significance for accelerating the construction of the cloud logistics platform and promoting the development of the logistics industry in the Internet era.