A comprehensive risk assessment framework for occupational health and safety in pharmaceutical warehouses using Pythagorean fuzzy Bayesian networks

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dc.authoridAYYILDIZ, ERTUGRUL/0000-0002-6358-7860en_US
dc.authorscopusid57215931449en_US
dc.authorscopusid55778396800en_US
dc.authorscopusid55550681700en_US
dc.authorwosidGul, Muhammet/H-8881-2015en_US
dc.contributor.authorAyyildiz, Ertugrul
dc.contributor.authorErdogan, Melike
dc.contributor.authorGul, Muhammet
dc.date.accessioned2024-08-23T16:04:47Z
dc.date.available2024-08-23T16:04:47Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractRisk assessment plays a crucial role in managing occupational health and safety in various industries, including pharmaceutical warehouses. Bayesian Networks (BN) have been widely employed for risk assessment due to their ability to handle uncertainty and quantify risks. However, the traditional BN approach has limitations in dealing with ambiguity and continuous variables. To address this, the fuzzy BN technique, combining fuzzy logic with BN, has emerged as an effective method for risk assessment. In this study, a fuzzy BN model using Pythagorean fuzzy sets is proposed for risk assessment in a pharmaceutical warehouse. The model incorporates 24 identified risk factors, and survey data is used to determine the conditional probabilities of these factors. The novelty of the study lies in the application of Pythagorean fuzzy sets and the development of risk assessment criteria specifically for pharmaceutical warehouses. The results of a comprehensive literature review and the proposed methodology are presented. A real case analysis is conducted, followed by validation and sensitivity analysis. The results provide valuable insights into enhancing occupational health and safety practices in pharmaceutical warehouses. The study contributes to enhancing occupational health and safety practices in pharmaceutical warehouses and provides a framework for future research.en_US
dc.description.sponsorshipDuzce University Scientific Research Projects Coordination Unit [2024.06.01.1452]en_US
dc.description.sponsorshipFunding This work is supported by the Duzce University Scientific Research Projects Coordination Unit. Project Number: 2024.06.01.1452.en_US
dc.identifier.doi10.1016/j.engappai.2024.108763
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.scopus2-s2.0-85195166075en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2024.108763
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14368
dc.identifier.volume135en_US
dc.identifier.wosWOS:001251990600001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBNsen_US
dc.subjectDecision makingen_US
dc.subjectPharmaceutical warehouseen_US
dc.subjectPythagorean fuzzy numbersen_US
dc.subjectRisk assessmenten_US
dc.subjectCriteria Decision-Makingen_US
dc.subjectModelen_US
dc.subjectRankingen_US
dc.subjectCareen_US
dc.titleA comprehensive risk assessment framework for occupational health and safety in pharmaceutical warehouses using Pythagorean fuzzy Bayesian networksen_US
dc.typeArticleen_US

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