A New Robust Multivariate EWMA Dispersion Control Chart for Individual Observations

dc.contributor.authorAjadi, Jimoh Olawaleen
dc.contributor.authorZwetsloot, Inez Mariaen
dc.contributor.authorTsui, Kwok-Leungen
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2021-05-14T13:14:38Zen
dc.date.available2021-05-14T13:14:38Zen
dc.date.issued2021-05-03en
dc.date.updated2021-05-13T14:34:46Zen
dc.description.abstractA multivariate control chart is proposed to detect changes in the process dispersion of multiple correlated quality characteristics. We focus on individual observations, where we monitor the data vector-by-vector rather than in (rational) subgroups. The proposed control chart is developed by applying the logarithm to the diagonal elements of the estimated covariance matrix. Then, this vector is incorporated in an exponentially weighted moving average (EWMA) statistic. This design makes the chart robust to non-normality in the underlying data. We compare the performance of the proposed control chart with popular alternatives. The simulation studies show that the proposed control chart outperforms the existing procedures when there is an overall decrease in the covariance matrix. In addition, the proposed chart is the most robust to changes in the data distribution, where we focus on small deviations which are difficult to detect. Finally, the compared control charts are applied to two case studies.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAjadi, J.O.; Zwetsloot, I.M.; Tsui, K.-L. A New Robust Multivariate EWMA Dispersion Control Chart for Individual Observations. Mathematics 2021, 9, 1038.en
dc.identifier.doihttps://doi.org/10.3390/math9091038en
dc.identifier.urihttp://hdl.handle.net/10919/103289en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectindividual observationsen
dc.subjectcovariance matrixen
dc.subjectnon-normalityen
dc.subjectmultivariate dispersion charten
dc.subjectEWMAen
dc.titleA New Robust Multivariate EWMA Dispersion Control Chart for Individual Observationsen
dc.title.serialMathematicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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