Double sampling hotelling's T2 charts

被引：30

作者：

Champ, Charles W. ^{[1
]}

Aparisi, Francisco ^{[2
]}

机构：

[1] Georgia So Univ, Dept Math Sci, Statesboro, GA 30460 USA

[2] Univ Politecn Valencia, Dept Estadist & Invest Operat Aplicadas & Calidad, Valencia 46022, Spain

来源：

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 2008年 / 24卷 / 02期

关键词：

adaptive control chart; ARL; MEWMA; run length distribution; statistical process control; genetic algorithm;

D O I：

10.1002/qre.872

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Two double sampling T-2 charts are discussed. They only differ in how the second sample is used to suggest to the practitioner the state of the process. An optimal method using a genetic algorithm is given for designing these charts based on the average run length (ARL). An analytical method is used to determine run length performance of the chart. Comparisons are made with various other control charting procedures. Some recommendations are given. Copyright (C) 2007 John Wiley & Sons, Ltd.

引用

页码：153 / 166

页数：14

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