A new adaptive CUSUM control chart for detecting the multivariate process mean
We propose a new multivariate CUSUM control chart, which is based on self adaption of its reference value according to the information from current process readings, to quickly detect the multivariate process mean shifts. By specifying the minimum magnitude of the process mean shift in terms of its...
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Published in | Quality and reliability engineering international Vol. 27; no. 7; pp. 877 - 884 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
01.11.2011
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Subjects | |
Online Access | Get full text |
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Summary: | We propose a new multivariate CUSUM control chart, which is based on self adaption of its reference value according to the information from current process readings, to quickly detect the multivariate process mean shifts. By specifying the minimum magnitude of the process mean shift in terms of its non‐centrality parameter, our proposed control chart can achieve an overall performance for detecting a particular range of shifts. This adaptive feature of our method is based on two EWMA operators to estimate the current process mean level and make the detection at each step be approximately optimal. Moreover, we compare our chart with the conventional multivariate CUSUM chart. The advantages of our control chart detection for range shifts over the existing charts are greatly improved. The Markovian chain method, through which the average run length can be computed, is also presented. Copyright © 2010 John Wiley & Sons, Ltd. |
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Bibliography: | istex:59FE4B07430EF753BBFB87EAD68E223BD538B1DA ark:/67375/WNG-D8Q6JJLL-8 ArticleID:QRE1177 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0748-8017 1099-1638 1099-1638 |
DOI: | 10.1002/qre.1177 |