Publication:
Integrating quality function deployment with fuzzy cognitive maps for resolving correlation issues in the roof matrix

dc.contributor.authorEmel, Gül Gökay
dc.contributor.authorPetriçli, Gülcan
dc.contributor.authorKayguluoğlu, Cem
dc.contributor.buuauthorEmel, Gül Gökay
dc.contributor.buuauthorPETRİÇLİ, GÜLCAN
dc.contributor.departmentBursa Uludağ Üniversitesi/İktisadi ve İdari Bilimler Fakültesi
dc.contributor.departmentBursa Uludağ Üniversitesi/İnegöl Meslek Yüksekokulu/Uluslararası Ticaret Programı
dc.contributor.researcheridJCN-8103-2023
dc.contributor.researcheridAAH-5172-2021
dc.date.accessioned2024-09-19T09:56:50Z
dc.date.available2024-09-19T09:56:50Z
dc.date.issued2022-02-01
dc.description.abstractThe roof matrix represents correlations among engineering characteristics (EC) in the house of quality (HoQ) in Quality Functions Deployment (QFD). Correlations are usually measured qualitatively and omitted in the analysis. However, ignoring them may cause duplication of effort, decreased product performance, and unsatisfied customer requirements (CR). Hence, this paper intends to propose an approach to considering the correlations quantitatively. Fuzzy Cognitive Maps (FCM) were used for this purpose. Additionally, Axiomatic Design (AD), for examining relationships between CRs and ECs, and Fuzzy Analytic Hierarchy Process (FAHP) with the Extent Analysis (EA) were used for checking the consistency of the evaluations. The proposed approach was applied in a sheet metal die-making company for ranking CRs and ECs. Results show that FCM enables analysing the quantitative roof matrix practically. The square roof matrix that supports FCM's adjacency matrix structure successfully represents asymmetric relationships among ECs. Integrating the correlations into the analysis resulted in a change in the final ranking. It also helped determine the most manageable ECs, better satisfiable CRs, and most critical/least manageable ECs.
dc.identifier.doi10.21121/eab.787075
dc.identifier.endpage138
dc.identifier.issn1303-099X
dc.identifier.issue2
dc.identifier.startpage117
dc.identifier.urihttps://doi.org/10.21121/eab.787075
dc.identifier.urihttps://dergipark.org.tr/en/pub/eab/issue/69289/787075
dc.identifier.urihttps://hdl.handle.net/11452/44928
dc.identifier.volume22
dc.identifier.wos000819958600001
dc.indexed.wosWOS.ESCI
dc.language.isoen
dc.publisherEge Üniversitesi
dc.relation.journalEge Akademik İnceleme
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAnalytic hierarchy process
dc.subjectProduct design
dc.subjectQfd
dc.subjectRequirements
dc.subjectInformation
dc.subjectDecision
dc.subjectSystem
dc.subjectRisk
dc.subjectQuality function deployment
dc.subjectFuzzy cognitive maps
dc.subjectAsymmetric square roof matrix
dc.subjectIndependence axiom
dc.subjectFuzzy analytic hierarchy process
dc.subjectExtent analysis
dc.subjectSocial sciences
dc.subjectEconomics
dc.subjectBusiness & economics
dc.titleIntegrating quality function deployment with fuzzy cognitive maps for resolving correlation issues in the roof matrix
dc.typeReview
dspace.entity.typePublication
relation.isAuthorOfPublication808f42f5-087b-47c3-89fb-3e5bd79a973f
relation.isAuthorOfPublication.latestForDiscovery808f42f5-087b-47c3-89fb-3e5bd79a973f

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