Application of multivariate statistical process control in casting industry

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dc.contributor.authorÇetin, Suna
dc.contributor.authorBirgören, Burak
dc.date.accessioned2025-01-21T16:26:52Z
dc.date.available2025-01-21T16:26:52Z
dc.date.issued2007
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThe purpose of quality control charts is to detect abnormal behavior of quality variables and to determine the causes of quality problems using these abnormalities. Hotelling's T2 charts, the most popular multivariate quality control charts, are used to monitor several quality variables, simultaneously. In this study, Hotelling's T2 charts were applied to a melting process in a brass casting factory. A Hotelling's T2 chart was formed from multivariate data collected from the process when it was in control; then, the chart was applied to new process data. Chart signals that are out of control limits were analyzed, and associated root causes were investigated in order to improve the process. Mason-Young-Tracy decomposition method was employed in this investigation.
dc.identifier.endpage818
dc.identifier.issn1300-1884
dc.identifier.issue4
dc.identifier.scopus2-s2.0-38549136925
dc.identifier.scopusqualityQ2
dc.identifier.startpage809
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23221
dc.identifier.volume22
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi University
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectHotelling's T <sup>2</sup> statistic; Mason-Young-Tracy decomposition method; Multivariate quality control; Quality control charts
dc.titleApplication of multivariate statistical process control in casting industry
dc.title.alternativeÇok de?i?şkenli? kali?te kontrol çi?zelgeleri?ni?n döküm sanayi?i?nde uygulanmasi
dc.typeArticle

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