An adaptive chart for monitoring the process mean and variance

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dc.contributor.authorCosta, Antonio F. B.
dc.contributor.authorDe Magalhaes, Maysa S.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionIBGE
dc.date.accessioned2014-05-20T15:23:21Z
dc.date.available2014-05-20T15:23:21Z
dc.date.issued2007-11-01
dc.description.abstractTraditionally, an (X) over bar chart is used to control the process mean and an R chart is used to control the process variance. However, these charts are not sensitive to small changes in the process parameters. The adaptive ($) over bar and R charts might be considered if the aim is to detect small disturbances. Due to the statistical character of the joint (X) over bar and R charts with fixed or adaptive parameters, they are not reliable in identifing the nature of the disturbance, whether it is one that shifts the process mean, increases the process variance, or leads to a combination of both effects. In practice, the speed with which the control charts detect process changes may be more important than their ability in identifying the nature of the change. Under these circumstances, it seems to be advantageous to consider a single chart, based on only one statistic, to simultaneously monitor the process mean and variance. In this paper, we propose the adaptive non-central chi-square statistic chart. This new chart is more effective than the adaptive (X) over bar and R charts in detecting disturbances that shift the process mean, increase the process variance, or lead to a combination of both effects. Copyright (c) 2006 John Wiley & Sons, Ltd.en
dc.description.affiliationUniv Estadual Paulista, FEG, BR-12516410 Guaratingueta, SP, Brazil
dc.description.affiliationIBGE, ENCE, BR-20231050 Rio de Janeiro, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, FEG, BR-12516410 Guaratingueta, SP, Brazil
dc.format.extent821-831
dc.identifierhttp://dx.doi.org/10.1002/qre.842
dc.identifier.citationQuality and Reliability Engineering International. Chichester: John Wiley & Sons Ltd, v. 23, n. 7, p. 821-831, 2007.
dc.identifier.doi10.1002/qre.842
dc.identifier.issn0748-8017
dc.identifier.urihttp://hdl.handle.net/11449/34153
dc.identifier.wosWOS:000250845100005
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.isnodouble68322*
dc.relation.isnodouble229516*
dc.relation.ispartofQuality and Reliability Engineering International
dc.relation.ispartofjcr1.604
dc.relation.ispartofsjr0,955
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectShewhart chartspt
dc.subjectAATSpt
dc.subjectadaptive chartspt
dc.subjectnon-central chi-square distributionpt
dc.subjectsingle charts topt
dc.subjectcontrol the process mean and variancept
dc.subjectjoint (X)over-bar and R chartspt
dc.titleAn adaptive chart for monitoring the process mean and varianceen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-Blackwell
unesp.author.lattes6100382011052492[1]
unesp.author.orcid0000-0003-2133-1098[1]

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