A new combined Shewhart-Cumulative Sum S chart for monitoring process standard deviation
The combined application of a Shewhart chart and cumulative sum (CUSUM) control chart is an effective tool for the detection of all sizes of process shifts as the scheme combines the advantages of a CUSUM at detecting small to moderate shifts and Shewhart for the quick detection of very large shifts...
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John Wiley and Sons Ltd
2016
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my.utm.737002017-11-18T00:40:55Z http://eprints.utm.my/id/eprint/73700/ A new combined Shewhart-Cumulative Sum S chart for monitoring process standard deviation Abujiya, M. R. Riaz, M. Lee, M. H. QA Mathematics The combined application of a Shewhart chart and cumulative sum (CUSUM) control chart is an effective tool for the detection of all sizes of process shifts as the scheme combines the advantages of a CUSUM at detecting small to moderate shifts and Shewhart for the quick detection of very large shifts. This article proposes new combined Shewhart-CUSUM S charts based on the extreme variations of ranked set sampling technique, for efficient monitoring of changes in the process dispersion. Using Monte Carlo simulations, the combined scheme is designed to minimize the average extra quadratic loss over the entire process shift domain. The results show that the combined Shewhart-CUSUM S charts uniformly outperform several other procedures for detecting increases and decreases in the process variability. Moreover, the proposed scheme can detect changes that are small enough to escape the Shewhart S chart or fairly large to escape detection by the CUSUM S chart. Numerical example is given to illustrate the practical application of the proposed scheme using real industrial data. John Wiley and Sons Ltd 2016 Article PeerReviewed Abujiya, M. R. and Riaz, M. and Lee, M. H. (2016) A new combined Shewhart-Cumulative Sum S chart for monitoring process standard deviation. Quality and Reliability Engineering International, 32 (3). pp. 1149-1165. ISSN 0748-8017 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84933557627&doi=10.1002%2fqre.1822&partnerID=40&md5=cc13f5d083f8dcaebb874ace34392aff |
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QA Mathematics Abujiya, M. R. Riaz, M. Lee, M. H. A new combined Shewhart-Cumulative Sum S chart for monitoring process standard deviation |
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The combined application of a Shewhart chart and cumulative sum (CUSUM) control chart is an effective tool for the detection of all sizes of process shifts as the scheme combines the advantages of a CUSUM at detecting small to moderate shifts and Shewhart for the quick detection of very large shifts. This article proposes new combined Shewhart-CUSUM S charts based on the extreme variations of ranked set sampling technique, for efficient monitoring of changes in the process dispersion. Using Monte Carlo simulations, the combined scheme is designed to minimize the average extra quadratic loss over the entire process shift domain. The results show that the combined Shewhart-CUSUM S charts uniformly outperform several other procedures for detecting increases and decreases in the process variability. Moreover, the proposed scheme can detect changes that are small enough to escape the Shewhart S chart or fairly large to escape detection by the CUSUM S chart. Numerical example is given to illustrate the practical application of the proposed scheme using real industrial data. |
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Article |
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Abujiya, M. R. Riaz, M. Lee, M. H. |
author_facet |
Abujiya, M. R. Riaz, M. Lee, M. H. |
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Abujiya, M. R. |
title |
A new combined Shewhart-Cumulative Sum S chart for monitoring process standard deviation |
title_short |
A new combined Shewhart-Cumulative Sum S chart for monitoring process standard deviation |
title_full |
A new combined Shewhart-Cumulative Sum S chart for monitoring process standard deviation |
title_fullStr |
A new combined Shewhart-Cumulative Sum S chart for monitoring process standard deviation |
title_full_unstemmed |
A new combined Shewhart-Cumulative Sum S chart for monitoring process standard deviation |
title_sort |
new combined shewhart-cumulative sum s chart for monitoring process standard deviation |
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John Wiley and Sons Ltd |
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2016 |
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http://eprints.utm.my/id/eprint/73700/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84933557627&doi=10.1002%2fqre.1822&partnerID=40&md5=cc13f5d083f8dcaebb874ace34392aff |
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