Title :
Application of Data Mining in Production Quality Management
Author :
Cai-yan, Liu ; You-fa, Sun
Author_Institution :
Sch. of Manage., Guangdong Univ. of Technol., Guangzhou, China
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.
Keywords :
data mining; production engineering computing; production management; quality control; rough set theory; apriori algorithm; data mining; manufacturing enterprises; production management; production quality management; quality control; quality factor analysis; rough set theory; Algorithm design and analysis; Association rules; Data mining; Inspection; Production; Quality control; Quality management; Set theory; Steel; Technology management; Apriori algorithm; data mining; quality management;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.81
