Research And Application Of Logistics Imformation System Based On Data Mining

The article explains the problems of the current logistic info systems which include the shortage in quick response, decision support, united plan and customer relationship. Such system may cause losses to companies whose operations relies on them in a long run because none of them can provide a deeper insights and views of the future business, therefore adopting Data Mining technology is a good solution to tackle with such problems.The traditional database Management Information System can not be made full use of, the analytical database is hit by build-up large amount of data , the data excavates with data storehouse technology to be able to resolve this one problem very good. That the data is excavated (Data Mining) is to concentrate efforts on data analysis and understand that , announce to the technology containing knowledge in the inside of data, it is one of the important target that future IT applies. It can probe analysis by being in progress to large amount of data , excavate out meaningful regulation , suggest that to look forward to providing the appropriate reference to future decision-making. The data excavates a technology coming being close to 10, already having got broad application and studying , is already applied successfully and in fields such as trade financing, medical treatment.The systematic purpose of studying logistics transports is exactly being a distribution for helping logistics changes the main body of a book with the market demand , continual readjustment enterprise operation guiding principle, optimizes the enterprise business technological process , improves enterprise managerial and administrative expertise sum enterprise competition. The model the technology and logistics distribution data storehouse Tech Data, is excavated are allocated and transported transports system combining with the logistics building , is able to help enterprise to optimize resource , is that development of enterprise does out auxiliary decision of strategic importance.This article first carries on the definition to logistics and elaborating the present situation of logistics allocation both in the domestic and foreign development.It emphasizes the cause why the logistics transportation cost stays at a high level in our country and points out the deficiency of the traditional module of logistics transportation system. It proposes utilizing the data mining technology into the transportation subsystem of the logistics management system and uses the genetic algorithm to solve the optimization problem of allocation line.This article elaborates the data mining theory and the technical method.Comparing data excavation and the tradition analysis method,it points out the strong superiority of the data mining in processing magnanimous information, discovering data characteristic,and assisting decision,which can meet the needs of logistics management system to allocation module.This article introduces how the hereditary principle and dynamic planning principle of logistics allocation optimization plays the concrete algorithm among the transportation decision module of logistics administrative system, and obtains the optimum transportation way.This article analyzes the demand of the system comprehensively. According to the needs of reality, it designs database structure and relevant application program with C++ and Access and the basic framework of and some procedures the logistics transportion module. After some artificial experiments, it indicates that the logistics transportation system based on that the data mining can improve the transportation efficiency,reduce the attenbant's work load,and optimize the route of providing and delivering,which offers the important data basis for policymaker's quickly, better judging. The result of prediction has accorded with the actual conditions well, which possesses academic value and actual applicational value for further study.