Research On Combined Matching Model Based On Logistics Supply And Demand Information

In recent years,with the development of electronic commerce and economic integration,the volume of freight service in the logistics industry is showing a growing trend.However,there are still many problems in the whole logistics activities,such as that the rate of vehicle capacity is low,and the matching rate of vehicles and goods is low,the operation cycle of the logistics activities is long,and so on.These problems generally exist in China's logistics industry,and largely restricted the development of the logistics industry in china.The intelligent logistics will become the future trend of the logistics industry,which attaches great importance.The guidance of the State Council to promote the "Internet plus" action point out that it is necessary to improve logistics efficiency and improve the docking of supply and demand information.How to improve the docking of supply and demand information effectively and improve the utilization efficiency of information is a problem.With the combining of Internet technology and information in logistics industry,the information platform provides the conditions to solve these problems,and the matching of vehicles and goods is done based on the supply and demand information derived from the logistics information platform.At present,there are many researches on improving the matching of individual goods and the matching degree of individual goods or improving the matching efficiency.While few study focus on combination matching of logistics supply and demand information in logistics information platform.In this paper,the combination matching of vehicles and goods in logistics activity is conducted based on the information of the supply and demand in logistics information platform.This study aims not only at improving the matching degree of individual goods,but also at improving the combination matching degree of a fixed vehicle and goods,so as to improve the vehicle capacity rate and reduce the operation cycle of logistics activities,which plays an important role in the development of logistics market.In this paper,related research is reviewed.The theoretical analysis method,graph vertex coloring method,and quantum evolutionary algorithm are used to research on the combination matching model of vehicles and goods based on the information of the supply and demand in logistics information platform.The research mainly includes:(1)The results of the relevant research at home and abroad are divided into three directions: the current research status of logistics information platform,the operation mode and the existing problems of logistics information platform.The domestic and foreign research status of logistics information is compared.The research status of heterogeneous information,the heterogeneous forms and the solution of heterogeneous information.Study on the current situation,the matching model and the existing problems of logistics supply and demand.It is necessary to study the combination matching of logistics supply and demand information.(2)A combination matching model is constructed based on the of supply and demand information,and the model is divided into two parts: firstly,conflicting relationship between different goods and between goods and vehicles are summarized.The relationship between the different goods is showed by the vertex model graph theory and is solved by the greedy algorithm,and the goods are divided into the independent set of goods without the conflicting relationship.Eliminating the conflict relationship between the different goods not only ensures safety in the process of shipment but also reduces the matching time complexity.Secondly,the combination matching model is constructed,and this model aims at maximizing the weighted value of the rate of vehicle capacity and the freight will of shipper as much as possible,and convert the freight to the rate of vehicle capacity and quantify the shipper's will.The quantum evolutionary algorithm is used to search the optimal solution of combination matching.(3)The operation mode,existing problems and the content of the China Logistics Network are analyze and summarize.The logistics supply and demand information is obtained by Python code.In order to verify the validity of the combination matching model,we use the Java programming language to realize the model algorithm.It is proved that the model can effectively improve the matching degree of vehicle and goods.(4)The shortcomings of this paper is summarized and the future research direction is conceived.