Research On The Coupling Mechanism Of Random Demand And Shared Resources In Multi-Source Concurrent Collaborative Logistics Network

In the paper,task resource matching in collaborative logistics network is the core of the research.By the text analysis software VOSviewer,a large number of literature text data are analyzed by word frequency association of keywords,and a word frequency network map is obtained.Then based on the network relationship in the map,ISM model is introduced.And the research object of this paper is determined by the mutual relationship of hot words in ISM model.Then,the main model and two control models of random demand and resource sharing are designed by using the idea of control variables and control experiments.Finally,it explores the impact mechanism of random demand and resource sharing in the collaborative logistics network on the delivery results through example verification.In the paper,we first introduce the research status,basic concepts and theories of collaborative logistics networks.The compositional characteristics of the collaborative logistics network are dynamic,integrated and restrictive;collaboration methods are point-to-point collaboration,line-line collaboration,chain-chain collaboration and hybrid collaboration;the coordination mechanism includes goal coordination,rule coordination and level coordination.Then,we focused on the task-resource allocation problem in the collaborative logistics network,analyzes the word frequency association of research keywords through VOSviewer software,obtains a word frequency network map,and introduced the ISM model based on the network relationship in the map,finally determined that profit,cost,and time were the core of the research.Finally,following the principle of controlled experiment,the main model of random demand and shared resources,the control model of random demand and resource independence,and the control model of demand determination and resource sharing were respectively designed,and the NSGA-II algorithm was used to solve actual data cases.We get that resource sharing in collaborative logistics network can effectively complement resources,improve operational efficiency and reduce cost and efficiency,but random demand will make distribution strategy worse and follow the trend of worse distribution strategy with the increase of randomness.