A multi-objective optimization of the synthetic T2 control chart for solving the problem of in-control and out-of-control regions

被引:0
|
作者
Aparisi, Francisco [1 ]
de Luna, Marco A. [2 ]
机构
[1] Univ Politecn Valencia, Dept Estadist & Invest Operat Aplicadas & Calidad, E-46022 Valencia, Spain
[2] ITESM, Dept Ingn Ind & Mecan, Guadalajara 45140, Jalisco, Mexico
关键词
multi-objective optimization; pareto-optimal front; synthetic T-2 control chart; genetic algorithms;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In some real applications of Statistical Process Control it is necessary to design a control chart to not detect small shifts, but keeping a good performance to detect moderate and large shifts (designing for In-control and Out-of-control regions). In this work we show how the new synthetic T 2 control chart can be designed to cope with this objective. A multi-objective optimization is carried out employing Genetic Algorithms, finding the Pareto-optimal front of non-dominated solutions for this problem.
引用
收藏
页码:2323 / +
页数:2
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