DocumentCode
2914549
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
Volume
2
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
284
Lastpage
287
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.81
Filename
5369264
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