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dc.contributor.authorDe Magalhaes, M. S.-
dc.contributor.authorCosta, AFB-
dc.contributor.authorNeto, FDM-
dc.identifier.citationInternational Journal of Production Economics. Amsterdam: Elsevier B.V., v. 99, n. 1-2, p. 236-246, 2006.-
dc.description.abstractRecent studies have shown that adaptive X control charts are quicker than traditional X charts in detecting small to moderate shifts in a process. In this article, we propose a joint statistical design of adaptive X and R charts having all design parameters varying adaptively. The process is subjected to two independent assignable causes. One cause changes the process mean and the other changes the process variance. However, the occurrence of one kind of assignable cause does not preclude the occurrence of the other. It is assumed that the quality characteristic is normally distributed and the time that the process remains in control has exponential distribution. Performance measures of these adaptive control charts are obtained through a Markov chain approach. (c) 2005 Elsevier B.V. All rights reserved.en
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectquality controlpt
dc.subjectstatistical designpt
dc.subjectadaptive chartspt
dc.subjectMarkov chainspt
dc.titleAdaptive control charts: A Markovian approach for processes subject to independent disturbancesen
dc.contributor.institutionEscola Nacl Ciências Estatist-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade do Estado do Rio de Janeiro (UERJ)-
dc.description.affiliationEscola Nacl Ciências Estatist, Inst Brasileiro Geog & Estatist, BR-20231050 Rio de Janeiro, Brazil-
dc.description.affiliationUniv Estadual Paulista, Fac Engn Guaratingueta, BR-12516410 Guaratingueta, SP, Brazil-
dc.description.affiliationUniv Estado Rio de Janeiro, IPRJ, BR-28601970 Nova Friburgo, RJ, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, Fac Engn Guaratingueta, BR-12516410 Guaratingueta, SP, Brazil-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofInternational Journal of Production Economics-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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