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Adaptive multivariate double sampling and variable sampling interval Hotelling's T 2 charts
In this article, two adaptive multivariate charts, which combine the double sampling (DS) and variable sampling interval (VSI) features, called the adaptive multivariate double sampling variable sampling interval T 2 (AMDSVSI T 2 ) and the adaptive multivariate double sampling variable sampling inte...
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Published in: | Quality and reliability engineering international 2018-07, Vol.34 (5), p.894-911 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this article, two adaptive multivariate charts, which combine the double sampling (DS) and variable sampling interval (VSI) features, called the adaptive multivariate double sampling variable sampling interval
T
2
(AMDSVSI
T
2
) and the adaptive multivariate double sampling variable sampling interval combined
T
2
(AMDSVSIC
T
2
) charts, are proposed. The real purpose of using the proposed charts is to provide flexibility by enabling the sampling interval length of the DS
T
2
chart to be varied so that the chart's sensitivity can be enhanced. The fundamental difference between the two proposed charts is that when a second sample is taken, the AMDSVSI
T
2
chart uses the information of the combined sample mean vectors while the AMDSVSIC
T
2
chart uses the information of the combined
T
2
statistics, in deciding about the process status. This research is motivated by existing combined DS
and VSI
charts in the literature, which show convincing performance improvement over the standard DS
chart. Consequently, it is believed that adopting this existing approach in the multivariate case will enable superior multivariate DS charts to be proposed. Numerical results show that the proposed charts outperform the existing standard
T
2
and other adaptive multivariate charts, in detecting shifts in the mean vector, for the zero‐state and steady‐state cases. The performances of both charts when the shift sizes in the mean vector are unknown are also measured. The application of the AMDSVSI
T
2
chart is illustrated with an example. |
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ISSN: | 0748-8017 1099-1638 |
DOI: | 10.1002/qre.2299 |