Based On The Supply Chain Between Enterprises Of The Rough Set Knowledge Flows Affect The Elements Of Identification Research

Coming with the knowledge economy and more intense competition among supply chains, how to consolidate the core competitiveness of the supply chain become an important mission to Business community and academe. The tendency must guide the supply chain research into a field of overlapped multi-subject inevitably. The integration and colligation of knowledge management and supply chain management will be the foundation of the paper.Most of the researches don't focus on knowledge transfer and value increment inside an enterprise but on then between enterprises.Supply chain between enterprises in manufacturing, purchasing and sales all links with the process flow of knowledge. In the 21st century the most important irreplaceable resources is the knowledge. Therefore, if we want to make the whole supply chain efficiency improved, and we must improve the learning ability of all enterprises to obtain the advanced knowledge.When knowledge flowing among the enterprises,there must be elements affecting knowledge flow exist objectively. These elements among the enterprise knowledge prompt, or hinder the knowledge flow. But there are many factors influence the flow of knowledge,.Therefore this research will focus on how to identify the important factors among these influence factors.This paper based on the research of knowledge management and knowledge flow, evaluating the reference method of supply chain, proposing the knowledge flow model which the main factors affecting based on the rough sets. The supply chain model points on the factors which influences the flow of knowledge among the enterprises mainly.This paper uses the knowledge absorptive capacity, knowledge matching degree, industry openness as the total input, knowledge flow effects as the total output, analysis which is the important factor, which is the redundant elements through the input and output of elements.Using survey data for example design, and using rough sets theory method calculating and analysis the data. Through the upper approximation and lower approximation describing the relationship between the totle input and knowledge flow effects. Then provide a meaningful guidance for knowledge flow smoothly in the supply chain, enhancing the overall knowledge ability,and improve efficiency and knowledge ultimately benefit.At last he paper validates feasibility and science of the model.Finally, is the paper has shortage and prospect. There may be some shortages and regrets in this paper which need further research.