Research On The Key Facters Of Spare Parts Supply And Application For Steel Making Enterprise

With the development of economy, traditional spare parts supply management method becomes weak in promoting efficiency and reducing the cost of spare parts supply for steel making industry, while it is an opportunity to the innovation of steel making industry spare parts supply management. Therefore, the current problems of the research and application of spare parts supply management in steel making industry are analyzed. Under the background of application in DongTe Special Steel Group, the dissertation analyses the process of spare part supply for steel making industry, points out the key factors of the spare parts supply and their relationship and studies implementation techniques for promoting efficency in a deepgoing way. The major research results include the following.At first, on the basis of a systematic study of spare part supply process, the function model of spare parts supply is put forward. The key factors were pointed out which produce an greate effect onf supply efficiency, that is inventory management, demand forecast and supplier management.In order to keep the factory running sharply with reasonable spare parts inventory fund, a new spare parts inventory management method is purposed based on the classification scheme using the prosperities about spare part inventory. First the spare part inventory styles are classified. Then a decision tree is defined by ID3 algorithms based on classification result with shortage cost, inventory cost, and spare part using frequency, spare part supply condition and spare part requirement condition as the node of the tree. The value of the node is decided by Fuzzy Neural Network if multi-attribute decision needed, at last spare parts inventory strategy can be got by using the decision tree and inventory strategy table.In order to forecast spare parts more accurate, SVR forecast model is developed based on spare parts history demand time sequence.because of the various demand reasons, the history data is analysed and processed in order to keep the bad data out.owing to the intermittent nature of the spare parts demand,demand forecasting for spare parts is especially difficult. The model discomposes the history data and makes some new time sequence by the demand location, it changes forecase the number and time of next demand into forecase only time of it.this make intermittent forecast turn into normal, smooth forecast.at last the time of next demand is forecast based on history date by SVR algorithms, the demand number is got by supply time window. The spare part supplier evaluation index system is founded and the application of fuzzy comprehensive evaluation in spare part supplier for steel making enterprises is studied.Through the analysis of the necessity of integration of knowledge with business process, Knowledge Trigger Point (KTP) is purposed, which is used to integrate knowledge management with business process. The concept, structure and application method of KTP are given a particular description in this article. Then a structure of knowledge management system is defined based on KTP and a four-level implementary model is purposed.At last, based on achievements in this paper and information technology, the spare parts supply management support system framework is presented and function model and information model are set up. Object-oriented use case analysis, process analysis and component design are studied. Good results are achieved through the implementation of the support system within the enterprise.The spare parts supply process information and its knowledge support system research are in favor of promoting spare parts anagement theory and practice for steel making industry, which has important significance to steel making industry at present.