Study And Design Of Inventory Management System Based On Data Mining

The inventory management based on the supply chain is a hot research topic of the modern enterprise management. It is means of improving the core competition. This thesis first analyzes the classical theory of inventory management and theory of inventory management in the supply chain environment. Then the generalized mode of inventory management based on supply chain is put forward. Based on this mode, the model of inventory control and index system of supplier evaluation is constituted. On the basis of research on architecture of inventory management, modeling & development of inventory management system based on generalized mode of Inventory Management is put forward and developed.In the first chapter, objective and significance of the inventory management are analyzed. On the basis of the present research situation of inventory management, main contents and general structure scheme of this thesis are presented.In the second chapter, the conception of data mining is introduced. Technology of data mining based on artificial neural networks is presented.In the third chapter, the classical theory of inventory management and theory of inventory management in the supply chain environment are analyzed. The generalized mode of inventory management is put forward.In the fourth chapter, application of data mining in the inventory management is analyzed. The model of inventory control and model of supplier evaluation is constituted. Then, using of data mining based on artificial neural networks in database based on these two models, results of forecast and evaluation are given.The inventory management system frame is established in the fifth chapter. System overall scheme, system function and modules are described. At last, the interface of system frame is given.Main conclusions of this thesis and the future research have been summarized in the end.