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AuthorAbbasi S.A.
AuthorAdegoke N.A.
Available date2020-02-24T08:57:11Z
Publication Date2018
Publication NameInternational Journal of Advanced Manufacturing Technology
ResourceScopus
ISSN2683768
URIhttp://dx.doi.org/10.1007/s00170-018-2535-3
URIhttp://hdl.handle.net/10576/12960
AbstractMultivariate control charts are mostly available for monitoring the process mean vector or the covariance matrix. Recently, work has been done on monitoring the multivariate coefficient of variation (CV) in phase II of the statistical process control (SPC). However, no study has investigated the performance of the multivariate CV charts in phase I. The phase I procedures are more important and involve the estimation of the charts? limits from a historical or reference dataset that represents the in-control state of the process. In real life, contaminations are mostly present in the historical samples; hence, the phase I procedures are mostly adopted to get rid of these contaminated samples. In this study, we investigate the performance of a variety of multivariate CV charts in phase I considering both diffuse symmetric and localized CV disturbance scenarios, using probability to signal as a performance measure. A real-life application, concerning carbon fiber tubing, is also provided to show the implementation of the proposed charts in phase I. The findings of this study will be useful for practitioners in their selection of an efficient phase I control chart for monitoring multivariate CV.
SponsorThe author Nurudeen A. Adegoke acknowledges the support provided by the Institute of Natural and Mathematical Sciences, Massey University Albany, New Zealand, during his Ph.D. The authors also thank the editor and the referees for their constructive comments.
Languageen
PublisherSpringer London
SubjectCoefficient of variation
Multivariate control chart
Phase I
Probability to signal
Statistical process control
TitleMultivariate coefficient of variation control charts in phase I of SPC
TypeArticle
Pagination1903 - 1916
Issue Number43959
Volume Number99


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