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Exponentially Weighted Moving Average Chart and Two‐Component Measurement Error
Author(s) -
Abbasi Saddam Akber
Publication year - 2016
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1766
Subject(s) - multiplicative function , component (thermodynamics) , statistics , chart , control chart , mathematics , function (biology) , observational error , x bar chart , sample size determination , algorithm , computer science , control limits , process (computing) , mathematical analysis , physics , evolutionary biology , biology , thermodynamics , operating system
The two‐component measurement error (TCME) model effectively quantifies both the additive and multiplicative errors in analytical measurements. The performance of control charts in presence of TCME model has been investigated by researchers in recent past, but these studies are based on only considering fixed levels for the two‐component model parameters. In this study, we investigated the exponentially weighted moving average chart's performance in presence of TCME for varying levels of two‐component model parameters. A cost function analysis is also presented to determine the optimal number of multiple measurements and the sample size for reducing the effect of TCME. Copyright © 2015 John Wiley & Sons, Ltd.