Fuzzy Process Capability Analysis and Applications

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dc.contributor.authorKahraman, Cengiz
dc.contributor.authorKaya, İhsan
dc.date.accessioned2020-03-26T17:48:52Z
dc.date.available2020-03-26T17:48:52Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractProcess capability indices (PCIs) are very useful statistical analysis tools to summarize process' dispersion and location through process capability analysis (PCA). PCIs are mainly used in industry to measure the capability of a process to produce products meeting specifications. Traditionally, the specifications are defined as crisp numbers. Sometimes, the specification limits (SLs) can be expressed in linguistic terms. Traditional PCIs cannot be applied for this kind of data. There are also some limitations which prevent a deep and flexible analysis because of the crisp definition of SLs. In this chapter, the fuzzy set theory is used to add more sensitiveness to PCA including more information and flexibility. The fuzzy PCA is developed when the specifications limits are represented by triangular or trapezoidal fuzzy numbers. Crisp SLs with fuzzy normal distribution are used to calculate the fuzzy percentages of conforming (FCIs) and nonconforming (FNCIs) items by taking into account fuzzy process mean, (mu) over tilde and fuzzy variance, (sigma) over tilde (2). Then fuzzy SLs are used together with (mu) over tilde and (sigma) over tilde (2) to produce fuzzy PCIs (FPCIs). FPCIs are analyzed under the existence of correlation and thus fuzzy robust process capability indices are obtained. Then FPCIs are improved for six sigma approach. And additionally, process accuracy index is analyzed under fuzzy environment. The results show that fuzzy estimations of PCIs have much more treasure to evaluate the process when it is compared with the crisp case.en_US
dc.identifier.citationKahraman, C., Kaya, İ., (2010). Fuzzy Process Capability Analysis and Applications. Production Engineering and Management Under Fuzziness, (252), 483-513.
dc.identifier.endpage513en_US
dc.identifier.isbn978-3-642-12051-0
dc.identifier.issn1434-9922en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage483en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/24955
dc.identifier.volume252en_US
dc.identifier.wosWOS:000278489300020en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKaya, İhsan
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofProduction Engineering and Management Under Fuzzinessen_US
dc.relation.ispartofseriesStudies in Fuzziness and Soft Computing
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleFuzzy Process Capability Analysis and Applicationsen_US
dc.typeBook Chapteren_US

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