Research On Spare Parts Inventory Management System Based On IDS

The management of equipment is an important Constituent of enterprise management, it is the foundation and the guarantee of the enterprise produces. But the management of spare parts inventory is also the premise of equipment's normal work, and the main content of equipment service resource management. At present, many enterprises face many problems, such as high consume of spare parts, high inventory and high cost of stock, and so on. This can cause the enterprise to lose the ability of competitive in the market inevitably. Approach to these questions only can depend upon the progress of the management technology and the enhancement of management level. In the view of these situations, this dissertation establishes one kind spare parts inventory management system based on the intelligent decision support to carry on the management of the spare parts effectively.The dissertation begins with the research to the theory of spare parts inventory management, and analyses the basic characteristic of spare parts inventory management, and researches to the basic content of spare parts inventory management, and refines the decision questions of spare parts inventory management. On the base of analyzing the disadvantage of the present methods of spare parts classification control, putting forwards one kind of method for spare parts ABC classification, which based on BP neural network, and supplies the application example. Researching to the model of spare parts inventory classification control, according to the different classification of spare parts to select the different model inventory control.Adopting Brower/Server system structure based on Web Technology, and design the database of the system, in emphasis, plan management, purchase management, storage management, system management and intelligent decision support are detail...