Application of Data mining in Continual Quality Improvement

被引：0
|
作者：
Tan, Jun [1 ]
机构：
[1] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China
来源：
MATERIALS, MECHANICAL ENGINEERING AND MANUFACTURE, PTS 1-3 | 2013年 / 268-270卷
关键词：
data mining; continual quality improvement; PDCA cycling; association rules mining system; ROUGH SET-THEORY; SYSTEM; PREDICTION;
D O I：
10.4028/www.scientific.net/AMM.268-270.1801
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Aiming at improving product quality continually, this paper proposed an association rules mining system (ARMS) based on idea of PDCA cycling. ARMS have the function of resolving problems coordinately which can integrate process parameters in various distributed processes and discover the relationship between process parameters and product quality feature. The framework of ARMS is composed of three main modules: data warehouse platform module, association rules mining module, association rules optimizing module.
引用
收藏
页码：1801 / 1804
页数：4
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