Study on Knowledge Management in Process Optimization of Manufacturing Enterprises Based on Data Mining

Abstract

With the development of the economy and improvement of science and technology, the management of all kinds of knowledge becomes more and more important for enterprises, and the blueprint of knowledge economy is displayed in front of us. The creation and development of knowledge reduces dependence of the society on natural resources greatly. Traditional production factors including labor, land and capital have gradually lost their dominant position, while knowledge resource has become the primary factor of scientific and technological innovation. Therefore, knowledge is the most important resource of enterprises. Using data mining method to find and collect the implied and valuable knowledge from enormous data and starting from revenue maximization of enterprises and participants, the paper uses the multi-player game with mixed motives, proposes the motivation mode and adopts Nash equilibrium as the starting point to observe how to stimulate the knowledge-sharing passion of the employees, which has great theoretical and practical significance.