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dc.contributor.authorBranco Costa, Antonio Fernando-
dc.contributor.authorGuerreiro Machado, Marcela Aparecida-
dc.date.accessioned2014-05-20T13:28:33Z-
dc.date.accessioned2016-10-25T16:48:13Z-
dc.date.available2014-05-20T13:28:33Z-
dc.date.available2016-10-25T16:48:13Z-
dc.date.issued2011-04-01-
dc.identifierhttp://dx.doi.org/10.1016/j.ijpe.2010.12.021-
dc.identifier.citationInternational Journal of Production Economics. Amsterdam: Elsevier B.V., v. 130, n. 2, p. 224-229, 2011.-
dc.identifier.issn0925-5273-
dc.identifier.urihttp://hdl.handle.net/11449/9507-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/9507-
dc.description.abstractThe general assumption under which the (X) over bar chart is designed is that the process mean has a constant in-control value. However, there are situations in which the process mean wanders. When it wanders according to a first-order autoregressive (AR (1)) model, a complex approach involving Markov chains and integral equation methods is used to evaluate the properties of the (X) over bar chart. In this paper, we propose the use of a pure Markov chain approach to study the performance of the (X) over bar chart. The performance of the chat (X) over bar with variable parameters and the (X) over bar with double sampling are compared. (C) 2011 Elsevier B.V. All rights reserved.en
dc.format.extent224-229-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectMarkov chainen
dc.subject(X)over-bar charten
dc.subjectCorrelationen
dc.subjectVariable parameteren
dc.subjectDouble samplingen
dc.titleVariable parameter and double sampling (X)over-bar charts in the presence of correlation: The Markov chain approachen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationSão Paulo State Univ UNESP, Prod Dept, Guaratingueta, SP, Brazil-
dc.description.affiliationUnespSão Paulo State Univ UNESP, Prod Dept, Guaratingueta, SP, Brazil-
dc.identifier.doi10.1016/j.ijpe.2010.12.021-
dc.identifier.wosWOS:000288471200011-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofInternational Journal of Production Economics-
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