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Intelligent Quality Management Using Knowledge Discovery in Databases

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1 Author(s)
Xiaoh Wang ; Key Lab. of Numerical Control of Jiangxi Province, Jiujiang Univ., Jiujiang, China

The application of data mining and knowledge discovery technologies in total quality management (TQM) expert system will certainly become one of the focuses of the quality engineering research field. This paper proposes an intelligent TQM expert system with knowledge discovery in databases. The intelligent quality management system is equipped with the "data mining" feature to provide quality knowledge with the ability to understand the relationships between the enterprise management processes. The realization scheme of knowledge discovery model in large-scale quality database is also given. The proposed system can solve the "knowledge bottleneck problem" in conventional quality system and improve the cooperative ability for monitoring the process effective, efficient and adaptable.

Published in:

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference:

11-13 Dec. 2009