Research And Application Of Data Mining In Quality Management System

By the propelling of scientific methods in quality management, the techniques of data analysis, which is emphasized as a fundamental element is ISO9000, is developing quickly. Data mining is acting a more important role in many fields as one of booming data analysis techniques. With the jumping of Chinese economy, the number of enterprise and the kinds of product is increase quickly. As the supervisor of the manufacture of enterprises, departments of quality supervising & management (DQSM) are carving for a more powerful tool on data analysis to assist the comprehensive management and prompt work efficiency.In consideration of demands and status of quality process management in manufacturing industry, this thesis combines the product quality data and advanced data mining technologies to extract the useful information to direct the improvement of the enterprise product quality and plan based on SQL SERVER 2005, DQSM of Gao Mi City is the application example., This thesis provides three kinds of data mining models and a data mining system for measuring the quality level of products and affording information to quality management. Model 1 mines the associations between different properties; model 2 predicts the quality level of products in a given period; model 3 classifies enterprises by quality level of product according to their characteristics. Besides,this thesis makes a simple discussion on using the theory of Rough Set to reduce attribute, in order to simplify the complexity of the algorithm. The approach has been applied in DQSM of Gao Mi City, and it has produced a good application effect.In the end, the main work I has finished are summarized, and the ideas about the future work has been introduced.