A Computer Optimization of a Set of EWMA Quality Control Charts

被引：0
|
作者：
Epprecht, Eugenio [1 ]
Aparisi, Francisco [2 ]
De Luna, Marco A. [3 ]
Carrion, Andres [2 ]
机构：
[1] Pontificia Univ Catolica Rio de Janeiro, Dept Ind Engn, Rio De Janeiro, Brazil
[2] Univ Politecn Valencia, Departamento Estadist & Invest Operat Aplicadas &, Valencia, Spain
[3] ITESM, Departamento Inegeniaria & Mecan, Guadalajara, Jalisco, Mexico
来源：
RECENT ADVANCES AND APPLICATIONS OF COMPUTER ENGINEERING: PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE (ACE 10) | 2010年
关键词：
Quality; control; SPC; joint EWMA; Optimization; MULTIVARIATE; T-2; SIGNALS; DESIGN;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Two main approaches are possible when several correlated variables must be monitored: one multivariate quality control chart or a set of univariate charts. This paper deals with the optimal design of a set of EWMA control charts to monitor the mean of several quality variables simultaneously. A specific Markov's chain model has been developed to compute the ARL of a set of p EWMA charts. An optimization is carried out using Genetic Algorithms in order to find the optimal parameters of the EWMA charts, implemented in friendly software. The result of the optimization are the values of the parameters of the EWMA charts that minimize the out-of-control ARL for a specified shift, while respecting the constraint of a specified in-control ARL.
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页码：93 / +
页数：2
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