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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/34659
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dc.contributor.authorCosta, AFB-
dc.date.accessioned2014-05-20T15:24:00Z-
dc.date.accessioned2016-10-25T17:58:03Z-
dc.date.available2014-05-20T15:24:00Z-
dc.date.available2016-10-25T17:58:03Z-
dc.date.issued2000-11-10-
dc.identifierhttp://dx.doi.org/10.1080/00207540050176012-
dc.identifier.citationInternational Journal of Production Research. London: Taylor & Francis Ltd, v. 38, n. 16, p. 3801-3809, 2000.-
dc.identifier.issn0020-7543-
dc.identifier.urihttp://hdl.handle.net/11449/34659-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/34659-
dc.description.abstractA standard X chart for controlling a process takes regular individual observations, for instance every half hour. This article proposes a modification of the X chart that allows one to take supplementary samples. The supplementary sample is taken (and the (X) over bar and R values computed) when the current value of X falls outside the control limits. With the supplementary sample, the signal of out-of-control is given by an (X) over bar value outside the (X) over bar chart's control limits or an R value outside the R chart's control limit. The proposed chart is designed to hold the supplementary sample frequency, during the in-control period, as low as 5% or less. In this context, the practitioner might prefer to verify an out-of-control condition by simply comparing the (X) over bar and R values with the control limits. In other words, without plotting the (X) over bar and R points. The X chart with supplementary samples has two major advantages when compared with the standard (X) over bar and A charts: (a) the user will be plotting X values instead of (X) over bar and R values; (b) the shifts in the process mean and/or changes in the process variance are detected faster.en
dc.format.extent3801-3809-
dc.language.isoeng-
dc.publisherTaylor & Francis Ltd-
dc.sourceWeb of Science-
dc.titleX charts with supplementary samples to control the mean and varianceen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUNESP, Dept Prod, BR-12500000 São Paulo, Brazil-
dc.description.affiliationUnespUNESP, Dept Prod, BR-12500000 São Paulo, Brazil-
dc.identifier.doi10.1080/00207540050176012-
dc.identifier.wosWOS:000165397900006-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofInternational Journal of Production Research-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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