A Comparative Study of the Group Runs and Side Sensitive Group Runs Control Charts

S. Y. Yew; Michael Boon Chong Khoo; Wei Lin Teoh; Sin Yin Teh; Wai Chung Yeong

A Comparative Study of the Group Runs and Side Sensitive Group Runs Control Charts

S. Y. Yew, Michael Boon Chong Khoo, Wei Lin Teoh, Sin Yin Teh, Wai Chung Yeong

School of Mathematical & Computer Sciences

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

1 Citation (Scopus)

Abstract

The Group Runs (GR) and Side Sensitive Group Runs (SSGR) control charts are the improvement of the synthetic chart without and with side sensitivity. Both the SSGR and GR charts are effective for detecting small to moderate process mean shifts. The performances of the SSGR and GR charts, in terms of the average time to signal (ATS), are compared in this paper. In this comparative study, the Monte Carlo simulation approach by means of the Statistical Analysis System (SAS) software is used to compute the ATS values for the GR and SSGR charts. The results revealed that the SSGR chart’s performance is better than that of the GR chart for all levels of mean shifts.

Original language	English
Pages (from-to)	177-189
Number of pages	13
Journal	Pertanika Journal of Science and Technology
Volume	24
Issue number	1
Publication status	Published - Jan 2016

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Cite this

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title = "A Comparative Study of the Group Runs and Side Sensitive Group Runs Control Charts",

abstract = "The Group Runs (GR) and Side Sensitive Group Runs (SSGR) control charts are the improvement of the synthetic chart without and with side sensitivity. Both the SSGR and GR charts are effective for detecting small to moderate process mean shifts. The performances of the SSGR and GR charts, in terms of the average time to signal (ATS), are compared in this paper. In this comparative study, the Monte Carlo simulation approach by means of the Statistical Analysis System (SAS) software is used to compute the ATS values for the GR and SSGR charts. The results revealed that the SSGR chart{\textquoteright}s performance is better than that of the GR chart for all levels of mean shifts.",

author = "Yew, {S. Y.} and Khoo, {Michael Boon Chong} and Teoh, {Wei Lin} and Teh, {Sin Yin} and Yeong, {Wai Chung}",

year = "2016",

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language = "English",

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AU - Yew, S. Y.

AU - Khoo, Michael Boon Chong

AU - Teoh, Wei Lin

AU - Teh, Sin Yin

AU - Yeong, Wai Chung

PY - 2016/1

Y1 - 2016/1

N2 - The Group Runs (GR) and Side Sensitive Group Runs (SSGR) control charts are the improvement of the synthetic chart without and with side sensitivity. Both the SSGR and GR charts are effective for detecting small to moderate process mean shifts. The performances of the SSGR and GR charts, in terms of the average time to signal (ATS), are compared in this paper. In this comparative study, the Monte Carlo simulation approach by means of the Statistical Analysis System (SAS) software is used to compute the ATS values for the GR and SSGR charts. The results revealed that the SSGR chart’s performance is better than that of the GR chart for all levels of mean shifts.

AB - The Group Runs (GR) and Side Sensitive Group Runs (SSGR) control charts are the improvement of the synthetic chart without and with side sensitivity. Both the SSGR and GR charts are effective for detecting small to moderate process mean shifts. The performances of the SSGR and GR charts, in terms of the average time to signal (ATS), are compared in this paper. In this comparative study, the Monte Carlo simulation approach by means of the Statistical Analysis System (SAS) software is used to compute the ATS values for the GR and SSGR charts. The results revealed that the SSGR chart’s performance is better than that of the GR chart for all levels of mean shifts.

M3 - Article

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VL - 24

SP - 177

EP - 189

JO - Pertanika Journal of Science and Technology

JF - Pertanika Journal of Science and Technology

IS - 1

ER -

A Comparative Study of the Group Runs and Side Sensitive Group Runs Control Charts

Abstract

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