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Multivariate multinomial T2 control chart using fuzzy approach

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Multivariate multinomial T2 control chart using fuzzy approach

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dc.contributor.author Pastuizaca Fernández, María Nela es_ES
dc.contributor.author Carrión García, Andrés es_ES
dc.contributor.author Ruiz Barzola, Omar es_ES
dc.date.accessioned 2016-05-09T18:11:15Z
dc.date.available 2016-05-09T18:11:15Z
dc.date.issued 2015
dc.identifier.issn 0020-7543
dc.identifier.uri http://hdl.handle.net/10251/63805
dc.description This is an author's accepted manuscript of an article published in: “International Journal of Production Research"; Volume 53, Issue 7, 2015; copyright Taylor & Francis; available online at: http://dx.doi.org/10.1080/00207543.2014.983617 es_ES
dc.description.abstract Quality of a product is often measured through various quality characteristics generally correlated. Multivariate control charts are a response to the need for quality control in such situations. If quality characteristics are qualitative, it sometimes happens that the product quality is defined by linguistic variables where quality levels are represented by some specific words and product units are classified into several linguistic forms categories, depending on the degree of fulfilment of expectations, creating a situation of fuzzy classifications. This study first reviews the concepts found in the literature on the development of fuzzy multivariate control charts. We propose a method to control these fuzzy quality evaluations, with correlated multiple attributes quality characteristics, through the use of a Hotelling T2 control chart. es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis: STM, Behavioural Science and Public Health Titles es_ES
dc.relation.ispartof International Journal of Production Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Multinomial processes es_ES
dc.subject Fuzzy theory es_ES
dc.subject Hotelling T2 es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Multivariate multinomial T2 control chart using fuzzy approach es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/00207543.2014.983617
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Pastuizaca Fernández, MN.; Carrión García, A.; Ruiz Barzola, O. (2015). Multivariate multinomial T2 control chart using fuzzy approach. International Journal of Production Research. 53(7):2225-2238. doi:10.1080/00207543.2014.983617 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1080/00207543.2014.983617 es_ES
dc.description.upvformatpinicio 2225 es_ES
dc.description.upvformatpfin 2238 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 53 es_ES
dc.description.issue 7 es_ES
dc.relation.senia 281364 es_ES
dc.identifier.eissn 1366-588X
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