Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart
In recent years, the coefficient of variation (CV) chart is receiving increasing attention in quality control. A number of studies demonstrated that adaptive charts could detect process shifts faster than traditional charts. This paper proposes an EWMA chart with variable sampling interval (VSI) to...
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| Format: | Article |
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American Society for Quality
2017
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| _version_ | 1796960581831360512 |
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| author | Yeong, W.C. Khoo, M.B.C. Tham, L.K. Teoh, W.L. Rahim, M.A. |
| author_facet | Yeong, W.C. Khoo, M.B.C. Tham, L.K. Teoh, W.L. Rahim, M.A. |
| author_sort | Yeong, W.C. |
| collection | UM |
| description | In recent years, the coefficient of variation (CV) chart is receiving increasing attention in quality control. A number of studies demonstrated that adaptive charts could detect process shifts faster than traditional charts. This paper proposes an EWMA chart with variable sampling interval (VSI) to monitor the CV. Formulas for computing the performance measures of the VSI EWMA-γ2; chart are derived using Markov chain, where γ2 denotes the CV squared. Comparative studies show that the VSI EWMA-γ2 chart significantly outperforms other competing charts. An example using real manufacturing data shows that the VSI EWMA-γ2 chart performs well in applications. |
| first_indexed | 2024-03-06T05:46:47Z |
| format | Article |
| id | um.eprints-18937 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:46:47Z |
| publishDate | 2017 |
| publisher | American Society for Quality |
| record_format | dspace |
| spelling | um.eprints-189372018-07-30T07:20:19Z http://eprints.um.edu.my/18937/ Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart Yeong, W.C. Khoo, M.B.C. Tham, L.K. Teoh, W.L. Rahim, M.A. Business QA Mathematics In recent years, the coefficient of variation (CV) chart is receiving increasing attention in quality control. A number of studies demonstrated that adaptive charts could detect process shifts faster than traditional charts. This paper proposes an EWMA chart with variable sampling interval (VSI) to monitor the CV. Formulas for computing the performance measures of the VSI EWMA-γ2; chart are derived using Markov chain, where γ2 denotes the CV squared. Comparative studies show that the VSI EWMA-γ2 chart significantly outperforms other competing charts. An example using real manufacturing data shows that the VSI EWMA-γ2 chart performs well in applications. American Society for Quality 2017 Article PeerReviewed Yeong, W.C. and Khoo, M.B.C. and Tham, L.K. and Teoh, W.L. and Rahim, M.A. (2017) Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart. Journal of Quality Technology, 49 (4). pp. 380-401. ISSN 0022-4065, DOI https://doi.org/10.1080/00224065.2017.11918004 <https://doi.org/10.1080/00224065.2017.11918004>. http://dx.doi.org/10.1080/00224065.2017.11918004 doi:10.1080/00224065.2017.11918004 |
| spellingShingle | Business QA Mathematics Yeong, W.C. Khoo, M.B.C. Tham, L.K. Teoh, W.L. Rahim, M.A. Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart |
| title | Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart |
| title_full | Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart |
| title_fullStr | Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart |
| title_full_unstemmed | Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart |
| title_short | Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart |
| title_sort | monitoring the coefficient of variation using a variable sampling interval ewma chart |
| topic | Business QA Mathematics |
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