Triple exponentially weighted moving average control chart with measurement error

Measurement error (M.E) can have a substantial impact on quality control applications, diminishing the sensitivity to detect changes in the mean or variance of quality characteristics. To monitor shifts in process mean and dispersion, Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (...

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Autores principales: Wang, Jing, Arslan, Muhammad, Riaz, Afshan, Lone, Showkat Ahmad, Gunaime, Nevine M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484926/
https://www.ncbi.nlm.nih.gov/pubmed/37679405
http://dx.doi.org/10.1038/s41598-023-41761-7
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author Wang, Jing
Arslan, Muhammad
Riaz, Afshan
Lone, Showkat Ahmad
Gunaime, Nevine M.
author_facet Wang, Jing
Arslan, Muhammad
Riaz, Afshan
Lone, Showkat Ahmad
Gunaime, Nevine M.
author_sort Wang, Jing
collection PubMed
description Measurement error (M.E) can have a substantial impact on quality control applications, diminishing the sensitivity to detect changes in the mean or variance of quality characteristics. To monitor shifts in process mean and dispersion, Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts are commonly employed. In our research, we investigated the influence of M.E on the Triple Exponentially Weighted Moving Average (TEWMA) control chart. We assessed the performance of the control chart using Average Run Length (ARL) as the evaluation metric. To compute the ARL properties, we adopted the Monte-Carlo simulation method. A comparison section has been made to check the performance efficiency of the control chart with the existing EWMA control chart. The implementation of a control chart on a real data set is also presented.
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spelling pubmed-104849262023-09-09 Triple exponentially weighted moving average control chart with measurement error Wang, Jing Arslan, Muhammad Riaz, Afshan Lone, Showkat Ahmad Gunaime, Nevine M. Sci Rep Article Measurement error (M.E) can have a substantial impact on quality control applications, diminishing the sensitivity to detect changes in the mean or variance of quality characteristics. To monitor shifts in process mean and dispersion, Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts are commonly employed. In our research, we investigated the influence of M.E on the Triple Exponentially Weighted Moving Average (TEWMA) control chart. We assessed the performance of the control chart using Average Run Length (ARL) as the evaluation metric. To compute the ARL properties, we adopted the Monte-Carlo simulation method. A comparison section has been made to check the performance efficiency of the control chart with the existing EWMA control chart. The implementation of a control chart on a real data set is also presented. Nature Publishing Group UK 2023-09-07 /pmc/articles/PMC10484926/ /pubmed/37679405 http://dx.doi.org/10.1038/s41598-023-41761-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Jing
Arslan, Muhammad
Riaz, Afshan
Lone, Showkat Ahmad
Gunaime, Nevine M.
Triple exponentially weighted moving average control chart with measurement error
title Triple exponentially weighted moving average control chart with measurement error
title_full Triple exponentially weighted moving average control chart with measurement error
title_fullStr Triple exponentially weighted moving average control chart with measurement error
title_full_unstemmed Triple exponentially weighted moving average control chart with measurement error
title_short Triple exponentially weighted moving average control chart with measurement error
title_sort triple exponentially weighted moving average control chart with measurement error
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484926/
https://www.ncbi.nlm.nih.gov/pubmed/37679405
http://dx.doi.org/10.1038/s41598-023-41761-7
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