Process capability analyses based on fuzzy measurements and fuzzy control charts

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dc.contributor.authorKaya, Ihsan
dc.contributor.authorKahraman, Cengiz
dc.date.accessioned2020-03-26T18:15:48Z
dc.date.available2020-03-26T18:15:48Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractProcess performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. Although they are very usable statistics, they have some limitations which prevent a deep and flexible analysis because of the crisp measurements and specification limits (SLs). If the specification limits or measurements are expressed by linguistic variables, traditional PCIs cause some misleading results. In this paper, the fuzzy set theory is used to add more information and flexibility to process capability analyses (PCA). For this aim, linguistic definition of the quality characteristic measurements are converted to fuzzy numbers and fuzzy PCIs are produced based on these measurements and fuzzy specification limits (SLs). Also fuzzy control charts are derived for fuzzy measurements of the related quality characteristic. They are used to increase the accuracy of PCA by determining whether or not the process is in statistical control. The fuzzy formulation of the indices C-p and C-pk, which are the most used two traditional PCIs, are produced when SLs and measurements are both triangular (TFN) and trapezoidal fuzzy numbers (TrFN). The proposed methodologies are applied in a piston manufacturer in Konya's Industrial Area, Turkey. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2010.09.004en_US
dc.identifier.endpage3184en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3172en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2010.09.004
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26754
dc.identifier.volume38en_US
dc.identifier.wosWOS:000286904600028en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectProcess capability indicesen_US
dc.subjectFuzzyen_US
dc.subjectControl chartsen_US
dc.subjectSpecification limitsen_US
dc.titleProcess capability analyses based on fuzzy measurements and fuzzy control chartsen_US
dc.typeArticleen_US

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