Performance of Max-EWMA control chart for joint monitoring of mean and variance with measurement error

Measurement error has negative effects on the monitoring of mean and variance shifts during industrial production. It is important to consider the measurement error for the development of quality control techniques to monitor the process in the right direction. This article unfolds that how the meas...

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Bibliographic Details
Published inCommunications in statistics. Simulation and computation Vol. 52; no. 1; pp. 1 - 26
Main Authors Javaid, Amjad, Noor-ul-Amin, Muhammad, Hanif, Muhammad
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 02.01.2023
Taylor & Francis Ltd
Subjects
Control charts
Error analysis
Joint monitoring
Max-EWMA control chart
Measurement error
Monitoring
Quality control
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Summary:Measurement error has negative effects on the monitoring of mean and variance shifts during industrial production. It is important to consider the measurement error for the development of quality control techniques to monitor the process in the right direction. This article unfolds that how the measurement error is affecting the performance of control charts used for joint monitoring of the process mean and variance shifts under the scheme of Max-EMWA control charts. The covariate model has been used to study the effect of measurement error and multiple measurements have been tried to reduce this effect. The calculations of the and are obtained by using Monte Carlo simulations to study the effects of measurement error on the Max-EWMA control chart. In addition to comparison with other charts, an illustrative example is also included comprising real life data to support the simulation results.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0361-0918
1532-4141
DOI:10.1080/03610918.2020.1842886