Double sampling hotelling's T2 charts

Charles W. Champ; Francisco Aparisi

doi:10.1002/qre.872

Double sampling hotelling's T² charts

Charles W. Champ, Francisco Aparisi

Mathematical Sciences

Polytechnic University of Valencia

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

Two double sampling T² 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.

Original language	English
Pages (from-to)	153-166
Number of pages	14
Journal	Quality and Reliability Engineering International
Volume	24
Issue number	2
DOIs	https://doi.org/10.1002/qre.872
State	Published - Mar 2008

Scopus Subject Areas

Safety, Risk, Reliability and Quality
Management Science and Operations Research

Keywords

ARL
Adaptive control chart
Genetic algorithm
MEWMA
Run length distribution
Statistical process control

Access to Document

10.1002/qre.872

Cite this

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