A novel risk assessment model for work-related musculoskeletal disorders in tea harvesting workers

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dc.contributor.authorTatar, Veysel
dc.contributor.authorYazıcıoğlu, Osman
dc.contributor.authorAyvaz, Berk
dc.date.accessioned2023-05-05T11:30:50Z
dc.date.available2023-05-05T11:30:50Z
dc.date.issued2023en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractWork-related musculoskeletal disorders (WMSDs) are the most common occupational health problems in agriculture workers due to repetitive and excessive force movement activities involved in their job processes. The Fine-Kinney method has been commonly used as a quantitative evaluation method in risk assessment studies. Classically, the risk value via Fine–Kinney is calculated by the mathematical multiplication irrespective of the degree of importance of each risk parameter (probability (P), exposure (E), and consequence (C)). Hence, a novel risk management model was proposed based on integrating Fine-Kinney and spherical fuzzy AHP-TOPSIS. First, each risk parameter is weighted using the spherical fuzzy AHP (SF-AHP). Second, the spherical fuzzy TOPSIS (SF-TOPSIS) method is used for hazard ranking. The proposed model is applied to evaluate risks in tea harvesting workers for work-related musculoskeletal disorders. Subsequently, a sensitivity analysis is carried out to test the proposed model. Finally, we compare the proposed model’s applicability and effectiveness with the spherical fuzzy COmbinative Distance-based ASsessment (SF-CODAS) method based on Fine-Kinney. The ranking similarity between the proposed Fine-Kinney-based SF-TOPSIS and SF-CODAS methods is checked by applying Spearman’s rank correlation coefficient, in which 92% of rankings are matched.en_US
dc.identifier.doi10.3233/JIFS-222652en_US
dc.identifier.endpage2323en_US
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85148097966en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2305en_US
dc.identifier.urihttps://hdl.handle.net/11467/6595
dc.identifier.urihttps://doi.org/10.3233/JIFS-222652
dc.identifier.volume44en_US
dc.identifier.wosWOS:000925063400054en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIOS Press BVen_US
dc.relation.ispartofJournal of Intelligent and Fuzzy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRisk assessment, Fine–Kinney method, Spherical fuzzy sets, Work-related musculoskeletal disorders (WMSDs), AHP-TOPSISen_US
dc.titleA novel risk assessment model for work-related musculoskeletal disorders in tea harvesting workersen_US
dc.typeArticleen_US

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