Monitoring the coefficient of variation using a variable parameters chart
This article is the first of its kind which proposes a Variable Parameters (VP) chart to monitor the coefficient of variation (CV). Formulae for various performance measures and the algorithms to optimize these performance measures are proposed. The VP CV chart consistently outperforms the five alte...
| Main Authors: | , , , |
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| Format: | Article |
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Taylor & Francis
2018
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| _version_ | 1825721465237929984 |
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| author | Yeong, Wai Chung Lim, Sok Li Khoo, Michael Boon Chong Castagliola, Philippe |
| author_facet | Yeong, Wai Chung Lim, Sok Li Khoo, Michael Boon Chong Castagliola, Philippe |
| author_sort | Yeong, Wai Chung |
| collection | UM |
| description | This article is the first of its kind which proposes a Variable Parameters (VP) chart to monitor the coefficient of variation (CV). Formulae for various performance measures and the algorithms to optimize these performance measures are proposed. The VP CV chart consistently outperforms the five alternative CV charts in the literature, for all shift sizes. Compared to the Exponentially Weighted Moving Average (EWMA) CV2 chart, the VP CV chart outperforms it for moderate and large shift sizes, while for small shift sizes, the EWMA CV2 chart outperforms the VP CV chart. Subsequently, the VP CV chart is implemented on an industrial example. |
| first_indexed | 2024-03-06T05:50:44Z |
| format | Article |
| id | um.eprints-20275 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:50:44Z |
| publishDate | 2018 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | um.eprints-202752019-02-12T08:39:54Z http://eprints.um.edu.my/20275/ Monitoring the coefficient of variation using a variable parameters chart Yeong, Wai Chung Lim, Sok Li Khoo, Michael Boon Chong Castagliola, Philippe HF Commerce Q Science (General) QA Mathematics This article is the first of its kind which proposes a Variable Parameters (VP) chart to monitor the coefficient of variation (CV). Formulae for various performance measures and the algorithms to optimize these performance measures are proposed. The VP CV chart consistently outperforms the five alternative CV charts in the literature, for all shift sizes. Compared to the Exponentially Weighted Moving Average (EWMA) CV2 chart, the VP CV chart outperforms it for moderate and large shift sizes, while for small shift sizes, the EWMA CV2 chart outperforms the VP CV chart. Subsequently, the VP CV chart is implemented on an industrial example. Taylor & Francis 2018 Article PeerReviewed Yeong, Wai Chung and Lim, Sok Li and Khoo, Michael Boon Chong and Castagliola, Philippe (2018) Monitoring the coefficient of variation using a variable parameters chart. Quality Engineering, 30 (2). pp. 212-235. ISSN 0898-2112, DOI https://doi.org/10.1080/08982112.2017.1310230 <https://doi.org/10.1080/08982112.2017.1310230>. https://doi.org/10.1080/08982112.2017.1310230 doi:10.1080/08982112.2017.1310230 |
| spellingShingle | HF Commerce Q Science (General) QA Mathematics Yeong, Wai Chung Lim, Sok Li Khoo, Michael Boon Chong Castagliola, Philippe Monitoring the coefficient of variation using a variable parameters chart |
| title | Monitoring the coefficient of variation using a variable parameters chart |
| title_full | Monitoring the coefficient of variation using a variable parameters chart |
| title_fullStr | Monitoring the coefficient of variation using a variable parameters chart |
| title_full_unstemmed | Monitoring the coefficient of variation using a variable parameters chart |
| title_short | Monitoring the coefficient of variation using a variable parameters chart |
| title_sort | monitoring the coefficient of variation using a variable parameters chart |
| topic | HF Commerce Q Science (General) QA Mathematics |
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