An integrated ergonomic risk assessment framework based on fuzzy logic and IVSF-AHP for optimising ergonomic risks in a mixed-model assembly line

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dc.contributor.authorKulac, Secil
dc.contributor.authorKiraz, Alper
dc.date.accessioned2026-02-08T15:15:31Z
dc.date.available2026-02-08T15:15:31Z
dc.date.issued2024
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractThis study proposes a systematic approach to address ergonomic factors, including physical, environmental and psychosocial aspects, in solving assembly line balancing problems. A three-stage framework is developed, starting with determining weights for ergonomic risk assessment methods using the interval-valued spherical fuzzy analytical hierarchy process. In the second stage, a fuzzy logic model for integrated ergonomic risk assessment is constructed based on these weights, and the integrated ergonomic risk score is determined. In the third stage, a mathematical model is formulated to minimise the cycle time while balancing the ergonomic risk level. A case study conducted in a wire harness factory validated the effectiveness of the proposed approach, showing a 10-11% improvement in line efficiency and a 12-25% enhancement in ergonomic risk balancing performance. These findings underscore the potential benefits of implementing this approach, which can significantly improve occupational safety and overall performance. This article presents a practical and systematic approach for enhancing ergonomic conditions in assembly lines. The proposed approach aims to balance the ergonomic risk level while minimising the cycle time by considering physical, environmental and psychosocial risk factors. A case study conducted in a wire harness factory demonstrated significant improvements in balancing ergonomic risks, highlighting the real-world applicability of this research.
dc.description.sponsorshipThe authors are grateful to all the participants for their support and participation in this study.
dc.identifier.doi10.1080/00140139.2024.2368270
dc.identifier.endpage2029
dc.identifier.issn0014-0139
dc.identifier.issn1366-5847
dc.identifier.issue12
dc.identifier.pmid38953513
dc.identifier.scopus2-s2.0-85197230132
dc.identifier.scopusqualityQ1
dc.identifier.startpage2009
dc.identifier.urihttps://doi.org/10.1080/00140139.2024.2368270
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5823
dc.identifier.volume67
dc.identifier.wosWOS:001260167800001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofErgonomics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWOS_KA_20260207
dc.subjectErgonomic risk assessment
dc.subjectfuzzy logic
dc.subjectmixed-integer programming
dc.subjectmixed-model assembly line balancing
dc.titleAn integrated ergonomic risk assessment framework based on fuzzy logic and IVSF-AHP for optimising ergonomic risks in a mixed-model assembly line
dc.typeArticle

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