Application of Data Mining in Production Quality Management

Authors :: Liu Cai-yan
Sun You-fa
Source :: 2009 Third International Symposium on Intelligent Information Technology Application.
Publication Year :: 2009
Publisher :: IEEE, 2009.
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.

Subjects :: Apriori algorithm
Quality management
Association rule learning
Computer science
media_common.quotation_subject
computer.software_genre
Statistical classification
Production manager
Quality (business)
Algorithm design
Data mining
Rough set
computer
media_common

Database :: OpenAIRE
Journal :: 2009 Third International Symposium on Intelligent Information Technology Application
Accession number :: edsair.doi...........b194d3b5466b62a70027bbc61c69d27a

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