Analysis of key performance indicators in a manufacturing plant via fuzzy cognitive maps

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dc.authoridBaykasoglu, Adil / 0000-0002-4952-7239
dc.authoridGolcuk, Ilker / 0000-0002-8430-7952
dc.authorscopusid7004171955
dc.authorscopusid57215308492
dc.authorscopusid56515313300
dc.authorwosidBaykasoglu, Adil/G-4311-2010
dc.authorwosidGolcuk, Ilker/B-2116-2015
dc.contributor.authorBaykasoğlu, Adil
dc.contributor.authorAtalay, Zehra Nur
dc.contributor.authorGölcük, İlker
dc.date.accessioned2022-02-15T16:57:23Z
dc.date.available2022-02-15T16:57:23Z
dc.date.issued2019
dc.departmentBakırçay Üniversitesien_US
dc.descriptionInnovations in Intelligent Systems and Applications Conference (ASYU) -- OCT 31-NOV 02, 2019 -- Izmir, TURKEYen_US
dc.description.abstractCompanies have to follow key performance indicators (KPIs) for their key objectives, such as increasing of productivity and profit, and reducing cost. Performance measurement and management is also important in this context. The interaction between key performance indicators is often ignored and these interactions are expressed by the subjective evaluations of decision makers. In this study, fuzzy cognitive map (FCM) was trained based on historical data in a production system and connection matrix was formed/analyzed based on the data. KPIs and their values are taken from the company where the present application is performed.en_US
dc.description.sponsorshipYasar Univ, IEEE Turkey Sect, Yildiz Teknik Univ, Idea, Siemensen_US
dc.identifier.endpage529en_US
dc.identifier.isbn978-1-7281-2868-9
dc.identifier.scopus2-s2.0-85078358488en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage526en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14034/139
dc.identifier.wosWOS:000631252400098en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.journal2019 Innovations In Intelligent Systems And Applications Conference (Asyu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy cognitive mapsen_US
dc.subjectkey performance indicatorsen_US
dc.subjectperformance measurementen_US
dc.subjectcriteria interactionen_US
dc.titleAnalysis of key performance indicators in a manufacturing plant via fuzzy cognitive mapsen_US
dc.typeConference Objecten_US

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