Method For Two-sided Matching Between Shippers And Carriers Based On Electronic Distribution Agents

The main content of the highway transportation service is to realize the effective connection with the goods.The traditional distribution intermediary is artificial to match the cars with goods,together with the limitations of their information about cars and goods,the phenomenon,like low load ratio,return empty,are very common.And with the rapid development of internet technology,smart phones,laptops and other intelligent mobile terminal equipment,identity authentication information service and satellite positioning system are more and more mature.It is possible for the rapid development of distribution site.In particular,this web site platform can eliminate the information asymmetry.But,the main function of Electronic distribution sites is information release,and required shipper and the carrier manual search for their partners.Electronic distribution sites can only supply simple matching service and are unable to realize intelligent matching results.This will undoubtedly cause the shipper and the carrier search costs increasing,low efficiency and bilateral satisfaction problem.Therefore,the research of the shipper and the carrier car goods bilateral matching problem has important significance.At present,the research on Two-sided matching decision making problem between shippers and carriers is little.And their research mainly consider distribution route optimization,few existing studies consider the delivery time,delivery location and distribution price.It is difficult to solve low efficiency,high search costs and bilateral satisfaction problems.So it is necessary to improve the matching mechanism,in this paper,we built truck-load transport matching model and less-than-one truck-load transport matching model,corresponding model solving method is given.This article makes a study on the two-sided matching decision making problem between shippers and carriers through two main aspects.(1)To refine the truck-load transport two-sided matching decision making problem and corresponding matching decision making method is given.The problem solving method is given by the description of truck-load.transport two-sided matching decision making problem.Finally by combining with the characteristics of the problem and the characteristics of one-to-one two-sided matching,the multi-objective optimization model is built based on the satisfaction of shipper,the carrier and the revenue of carriers.Finally,we got the matching result by using the ant colony algorithm.(2)To refine the less-than-one truck-load transport two-sided matching decision making problem and corresponding matching decision making method is given.The problem solving method is given by the description of truck-load transport two-sided matching decision making problem.Finally by combining with the characteristics of the problem and the characteristics of many-to-one two-sided matching,the multi-objective optimization model is built based on the satisfaction of shipper and the carrier,the revenue of carriers and the shipper matching numbers.Finally,we got the matching result by using the ant colony algorithm.The research achievements of this paper can effectively solve two-sided matching problem between shippers and carriers based on electronic distribution agents,the matching decision-making model and effective algorithm for the building of the decision support system are given.In addition,this article research results can also be applied to solve other bilateral trade matching problem based on electronic agent,such as:housing allocation,etc.