Large-group failure mode and effects analysis for risk management of angle grinders in the construction industry

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dc.authoridChen, Junyang/0000-0002-1139-8654
dc.authoridChen, Zhen-Song/0000-0003-4360-5459
dc.authorwosidChen, Junyang/AAZ-4344-2020
dc.authorwosidChen, Zhen-Song/K-3436-2019
dc.contributor.authorChen, Zhen-Song
dc.contributor.authorChen, Jun-Yang
dc.contributor.authorChen, Yue-Hua
dc.contributor.authorYang, Yi
dc.contributor.authorJin, LeSheng
dc.contributor.authorHerrera-Viedma, Enrique
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:42:59Z
dc.date.available2024-05-19T14:42:59Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractAccidents associated with the use of construction equipment are among the leading causes of fatal injuries in the construction industry. In particular, angle grinders are associated with a significant number of occupational injuries every year. However, practitioners and researchers have paid limited attention to this issue. To facilitate the development of more sophisticated plans and guidelines to prevent angle grinder-related accidents, failure mode and effects analysis (FMEA) is employed for risk management in such a context. The conventional FMEA method is extensively used for examining potential failure in many industries, but has been criticized much in the literature for its various limitations. This study presents a novel large-group FMEA (LGFMEA) model, which integrates a clustering analysis for handling experts at large scale, a consensus reaching process with relative basic uncertain linguistic information (RBULI) to manage opinion diversity among experts, and the behavioral TOPSIS method to rank failure modes. The assessment information is characterized by the RBULI, a novel information representation construction method applied to handle complex evaluations under uncertainty. Finally, the proposed LGFMEA approach is performed for risk analysis related to angle grinder use to obtain insights into risk mitigation, and the sensitive and comparative analyses are performed to verify the rationality and feasibility of the model.en_US
dc.description.sponsorshipNational Natural Science Foundation of China [72171182, 71801175, 72201097, 72031009]; National Social Science Fund of China [20 ZD058]en_US
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China [Grant Nos. 72171182, 71801175, 72201097, and 72031009] and the National Social Science Fund of China [Grant No. 20 & ZD058] .en_US
dc.identifier.doi10.1016/j.inffus.2023.101803
dc.identifier.issn1566-2535
dc.identifier.issn1872-6305
dc.identifier.scopus2-s2.0-85152600593en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.inffus.2023.101803
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5308
dc.identifier.volume97en_US
dc.identifier.wosWOS:000982213800001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofInformation Fusionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectLarge -Group Failure Mode And Effects Analysisen_US
dc.subjectRelative Basic Uncertain Linguistic Informationen_US
dc.subjectConsensus Reaching Processen_US
dc.subjectConstruction Equipmenten_US
dc.subjectAngle Grinderen_US
dc.titleLarge-group failure mode and effects analysis for risk management of angle grinders in the construction industryen_US
dc.typeArticleen_US

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