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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/9508
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dc.contributor.authorSimoes, Bruno F. T.-
dc.contributor.authorEpprecht, Eugenio K.-
dc.contributor.authorCosta, Antonio F. B.-
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.issued2010-09-01-
dc.identifierhttp://web.it.nctu.edu.tw/qtqm/-
dc.identifier.citationQuality Technology and Quantitative Management. Taichung: Nctu-national Chiao Tung Univ Press, v. 7, n. 3, p. 249-261, 2010.-
dc.identifier.issn1684-3703-
dc.identifier.urihttp://hdl.handle.net/11449/9508-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/9508-
dc.description.abstractCombining an EWMA chart with a Shewhart chart is traditionally recommended as a means of providing good protection against both small and large shifts in the process mean. Capizzi and Masarotto have proposed an EWMA chart with a variable smoothing constant (AEWMA) for the same purpose. In this paper, we optimize the designs of the AEWMA and of the combined EWMA-Shewhart schemes with regard to pairs of shifts in the process mean and compare their performances. When the schemes are optimized for the same pair of shifts, their ARL profiles practically coincide. The choice between the AEWMA and the EWMA-Shewhart scheme then becomes a matter of personal preference. We also explore using an AEWMA together with a Shewhart chart, but we find no performance improvement. An additional contribution of this paper is the tables of optimal designs of each scheme for several pairs of shifts.en
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.format.extent249-261-
dc.language.isoeng-
dc.publisherNctu-national Chiao Tung Univ Press-
dc.sourceWeb of Science-
dc.subjectAdaptive control chartsen
dc.subjectARL profilesen
dc.subjectexponentially weighted moving averageen
dc.subjectstatistical process controlen
dc.subjectvariable parametersen
dc.subjectvariable smoothing constanten
dc.titlePerformance Comparisons of EWMA Control Chart Schemesen
dc.typeoutro-
dc.contributor.institutionPontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationPontif Catholic Univ Rio de Janeiro PUC Rio, Dept Ind Engn, Rio de Janeiro, Brazil-
dc.description.affiliationSão Paulo State Univ UNESP, Dept Prod, Guaratingueta, SP, Brazil-
dc.description.affiliationUnespSão Paulo State Univ UNESP, Dept Prod, Guaratingueta, SP, Brazil-
dc.identifier.wosWOS:000293058800004-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofQuality Technology and Quantitative Management-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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