Application of data mining in production quality management

Authors:
Liu Cai-yan;Sun You-fa
Affiliations:
School of Management, Guangdong University of Technology, Guangdong, Guangzhou;School of Management, Guangdong University of Technology, Guangdong, Guangzhou
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

Application of data mining in manufacturing enterprises' quality management is introduced. Quality factor analysis is very important for quality control and production management. In this article, based on Rough Set theory an improved Apriori algorithm is put forward to mine quantitative relationship among different factors which influence product quality. The improved algorithm overcomes the traditional Apriori algorithm's limitation of qualitative analysis.