Optimal Estimation of Process Capability Indices with Non-Normal Data and Inaccurate Parameters using Metaheuristics

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dc.citation.journalTitleQUALITY-ACCESS TO SUCCESSeng
dc.contributor.authorCogollo M
dc.contributor.authorArtega, Mònica
dc.contributor.authorCogollo, Juan Miguel
dc.contributor.authorFlores, Andrea
dc.contributor.departmentUniversidad EAFIT. Escuela de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.date.accessioned2021-04-12T14:07:15Z
dc.date.available2021-04-12T14:07:15Z
dc.date.issued2017-12-01
dc.description.abstractThe current methods for estimating Process Capability Indices are based on the assumptions of normality and accuracy of process data. Under actual production conditions the data of quality characteristics of the products may be non-normal and/or have imprecise parameters. Therefore, in this paper we propose a new methodology for estimating Process Capability Indices when the data are non-normal and the specification limits are not crisp numbers. The methodology was validated using experimental data. The proposed methodology uses the Clements's method assuming a Burr type XII distribution, whose parameters are estimated through metaheuristic techniques, and considers the obtaining of fuzzy numbers using the statistical inference theory.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=7628
dc.identifier.doiWOS;000423621600009
dc.identifier.issn15822559
dc.identifier.otherSCOPUS;2-s2.0-85034618879
dc.identifier.urihttp://hdl.handle.net/10784/27793
dc.language.isoengeng
dc.publisherSRAC - Societatea Romana Pentru Asigurarea Calitatii
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85034618879&partnerID=40&md5=5eda0000075ab94a838c0b5c6c5528f2
dc.rightsSRAC - Societatea Romana Pentru Asigurarea Calitatii
dc.sourceQUALITY-ACCESS TO SUCCESS
dc.subject.keywordstatistical quality controleng
dc.subject.keywordprocess capability indiceseng
dc.subject.keywordnon-normal dataeng
dc.subject.keywordfuzzy dataeng
dc.subject.keywordmetaheuristicseng
dc.titleOptimal Estimation of Process Capability Indices with Non-Normal Data and Inaccurate Parameters using Metaheuristicseng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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