Research On Production Material Supplying Management System For Steel Enterprise Group

With the development of economy and fiercer competition, traditional supply management method becomes weak in promoting efficiency and reducing the cost of supply for steel industry, while it is an opportunity to the innovation of steel industry supply management. Therefore, the current problems of the research and application of supply management in steel industry are analyzed. Under the background of application in DongTe Special Steel Group, the dissertation analyses the process of supply for steel industry, points out the key factors of the supply and studies implementation techniques for promoting efficiency in-depth way. The major research results include the following:First, on the basis of a systematic study of supply process, the flow of supply is put forward. The key factors were pointed out, that is raw material requirement planning, purchasing portfolio and purchasing strategy, and cooperative inventory control.Secondly, according to process route and scheduling quantity, the consumer chain relationship model is proposed, which establish the material consumer relationship in every working procedure from raw materiaK semi-manufactured goods to finished goods. Based on consumer chain relationship model and using input-output principle, raw materal requirement supply planning quantity in every working procedure facing to consumer chain is presented. Consequently, the steel production material requirement planning facing to production whole process is formed. Empirical study is given according to enterprise data finally.Then, a purchasing portfolio approach for steel industry based on Kraljic model is proposed. On this basis, the purchasing strategy is studied. Based on the Kraljic planar model, analyzing the profit impact and supply risk degree of purchasing item, the steel industry purchasing item Kraljic model is established. This model has grouping purchasing item and its purchasing strategy by using of the method of fuzzy comprehensive evaluation. The application of this approach in a steel group indicates its validity and practicability.Next, a production material cooperative inventory control model in steel enterprise group is proposed in order to improve the economic efficiency of steel enterprise group in our country, achieve the optimized allocation of productive resources in the whole enterprise group and share the inventory resources cooperatively in subsidiaries. In this model, all storages in subsidiaries and strategic suppliers had been taken as a whole logic inventory, and an integrated approach of analytic network process (ANP) and genetic algorithm is used in choosing the best storages and defining the optimum quantities among selected storages to minimize the cost of supplying and maximize the total value of supplying. The application of this model in a Dong-bei steel enterprise group shows that this model and its algorithm are valid and feasible.At last, based on achievements in this paper and information technology, the production material 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 effect is achieved through the implementation of the support system within the enterprise.The production material supply management system and its knowledge support system research are in favor of promoting development of steel industry management theory and practice, which has important significance to steel industry at present.