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Monitoring process mean and variability with one non-central chi-square chart

dc.contributor.authorCosta, AFB
dc.contributor.authorRahim, M. A.
dc.contributor.institutionUniv New Brunswick
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:29:06Z
dc.date.available2014-05-20T15:29:06Z
dc.date.issued2004-12-01
dc.description.abstractTraditionally, an (X) over bar -chart is used to control the process mean and an R-chart to control the process variance. However, these charts are not sensitive to small changes in process parameters. A good alternative to these charts is the exponentially weighted moving average (EWMA) control chart for controlling the process mean and variability, which is very effective in detecting small process disturbances. In this paper, we propose a single chart that is based on the non-central chi-square statistic, which is more effective than the joint (X) over bar and R charts in detecting assignable cause(s) that change the process mean and/or increase variability. It is also shown that the EWMA control chart based on a non-central chi-square statistic is more effective in detecting both increases and decreases in mean and/or variability.en
dc.description.affiliationUniv New Brunswick, Fac Adm, Fredericton, NB E3B 5A3, Canada
dc.description.affiliationUniv São Paulo, UNESP, Dept Prod, São Paulo, Brazil
dc.description.affiliationUnespUniv São Paulo, UNESP, Dept Prod, São Paulo, Brazil
dc.format.extent1171-1183
dc.identifierhttp://dx.doi.org/10.1080/0266476042000285503
dc.identifier.citationJournal of Applied Statistics. Basingstoke: Carfax Publishing, v. 31, n. 10, p. 1171-1183, 2004.
dc.identifier.doi10.1080/0266476042000285503
dc.identifier.issn0266-4763
dc.identifier.urihttp://hdl.handle.net/11449/38756
dc.identifier.wosWOS:000225394000003
dc.language.isoeng
dc.publisherCarfax Publishing
dc.relation.ispartofJournal of Applied Statistics
dc.relation.ispartofjcr0.699
dc.relation.ispartofsjr0,475
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectmonitoring process mean and variancept
dc.subject(X)over-bar chartpt
dc.subjectEWMA chartpt
dc.subjectnon-central chi-square chartpt
dc.titleMonitoring process mean and variability with one non-central chi-square charten
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderCarfax Publishing
dspace.entity.typePublication

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