Optimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length.

The side sensitive synthetic chart was proposed to improve the performance of the synthetic chart to monitor shifts in the coefficient of variation (γ), by incorporating the side sensitivity feature where successive non-conforming samples must fall on the same side of the control limits. The existin...

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Autores principales: Waie Chung Yeong, Ping Yin Lee, Sok Li Lim, Peh Sang Ng, Khai Wah Khaw
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/3307219755bc44c694a1a1f48e59a3d9
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spelling oai:doaj.org-article:3307219755bc44c694a1a1f48e59a3d92021-12-02T20:08:48ZOptimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length.1932-620310.1371/journal.pone.0255366https://doaj.org/article/3307219755bc44c694a1a1f48e59a3d92021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255366https://doaj.org/toc/1932-6203The side sensitive synthetic chart was proposed to improve the performance of the synthetic chart to monitor shifts in the coefficient of variation (γ), by incorporating the side sensitivity feature where successive non-conforming samples must fall on the same side of the control limits. The existing side sensitive synthetic- γ chart is only evaluated in terms of the average run length (ARL) and expected average run length (EARL). However, the run length distribution is skewed to the right, hence the actual performance of the chart may be frequently different from what is shown by the ARL and EARL. This paper evaluates the entire run length distribution by studying the percentiles of the run length distribution. It is shown that false alarms frequently happen much earlier than the in-control ARL (ARL0), and small shifts are often detected earlier compared to the ARL1. Subsequently, this paper proposes an alternative design based on the median run length (MRL) and expected median run length (EMRL). The optimal design based on the MRL shows smaller out-of-control MRL (MRL1), which shows a quicker detection of the out-of-control condition, compared to the existing design, while the results from the optimal design based on the EMRL is similar to that of the existing designs. Comparisons with the synthetic-γ chart without side sensitivity shows that side sensitivity reduces the median number of samples required to detect a shift and reduces the variability in the run length. Finally, the proposed designs are implemented on an actual industrial example.Waie Chung YeongPing Yin LeeSok Li LimPeh Sang NgKhai Wah KhawPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0255366 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Waie Chung Yeong
Ping Yin Lee
Sok Li Lim
Peh Sang Ng
Khai Wah Khaw
Optimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length.
description The side sensitive synthetic chart was proposed to improve the performance of the synthetic chart to monitor shifts in the coefficient of variation (γ), by incorporating the side sensitivity feature where successive non-conforming samples must fall on the same side of the control limits. The existing side sensitive synthetic- γ chart is only evaluated in terms of the average run length (ARL) and expected average run length (EARL). However, the run length distribution is skewed to the right, hence the actual performance of the chart may be frequently different from what is shown by the ARL and EARL. This paper evaluates the entire run length distribution by studying the percentiles of the run length distribution. It is shown that false alarms frequently happen much earlier than the in-control ARL (ARL0), and small shifts are often detected earlier compared to the ARL1. Subsequently, this paper proposes an alternative design based on the median run length (MRL) and expected median run length (EMRL). The optimal design based on the MRL shows smaller out-of-control MRL (MRL1), which shows a quicker detection of the out-of-control condition, compared to the existing design, while the results from the optimal design based on the EMRL is similar to that of the existing designs. Comparisons with the synthetic-γ chart without side sensitivity shows that side sensitivity reduces the median number of samples required to detect a shift and reduces the variability in the run length. Finally, the proposed designs are implemented on an actual industrial example.
format article
author Waie Chung Yeong
Ping Yin Lee
Sok Li Lim
Peh Sang Ng
Khai Wah Khaw
author_facet Waie Chung Yeong
Ping Yin Lee
Sok Li Lim
Peh Sang Ng
Khai Wah Khaw
author_sort Waie Chung Yeong
title Optimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length.
title_short Optimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length.
title_full Optimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length.
title_fullStr Optimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length.
title_full_unstemmed Optimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length.
title_sort optimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/3307219755bc44c694a1a1f48e59a3d9
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AT soklilim optimaldesignsofthesidesensitivesyntheticchartforthecoefficientofvariationbasedonthemedianrunlengthandexpectedmedianrunlength
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AT khaiwahkhaw optimaldesignsofthesidesensitivesyntheticchartforthecoefficientofvariationbasedonthemedianrunlengthandexpectedmedianrunlength
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