The Analyse And Design About Inventory Management Data Mining System

The purpose of the inventory management is prompt, accurate satisfy with the demand of enterprise customer.Usually, That definiting Inventory level is the key problem should be solved . Based on the study of some spealist, Inventory level main inclode some things, such as safestockN customer server level, sort stock charge and maintain charge and so on,The analysis to the change of Inventory level may lead enterprise to make clear understead to the current system quality ,Customer purchases the effective level of certain kind merchandise So, find out the management problem in inventory, so as to improve it.The way of thinking of Paper writing is as follows: According to the management business of inventory, Establishing the data warehouse facing the invetory level analysis theme in stock, at the same time, establishing related index system,Mine knowledge using BP algorithm , Analyse and foresee that inventory management level, Complete systematic logic analysis and design finally.Paper have elaborated the business process of the inventory management in detail, and according to the characteristic of inventory management, designed data warehouse theme of definiting safestock analysis .Next , It can be found in this paper that effective forecast index system and option algorithm model were established according to the inventory management theory and disposition as well as model output. , Paper has considered that original BP nerve network algorithm efficiency emphatically is lower , it is easy to fall into the local min problem , paper have improved the adjustment frequency of the standard BP algorithm, it have been raised efficiency at this way. Either, Paper verified the effectiveness forecast index system and data mine algorithm built in this paper. Proved the feasibility of applicating the inventory management data mining system with above index system and excavate algorithm .