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Ilam University of Medical Sciences

A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS modelling

Thu Feb 22 17:50:30 2024

(2023) A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS modelling. Theoretical Issues in Ergonomics Science. p. 22. ISSN 1463-922X

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Abstract

This study presents a holistic model based on Fuzzy Bayesian Network-Human Factor Analysis and Classification System (FBN-HFACS) to analyze contributing factors in the pandemic, Covid 19, risk management under uncertainty. The model contains three main phases include employing a) HFACS to systematically identify influencing factors based on validation using content validity indicators, b) Fuzzy Set Theory to obtain the prior probability distribution of contributing factors in pandemic risk and address the epistemic uncertainty and subjectivity, and finally, c) Bayesian network to develop causality model of the risk, probabilistic inferences and handle parameter and model uncertainties. The Ratio of Variation (RoV), as BN-driven importance measures, is utilized to conduct sensitivity analysis and explore the most critical factors that yield effective safety countermeasures. The model is tested to investigate four large manufacturing industries in South Khorasan (Iran). It provided a deep understanding of influencing human and organizational factors and captured dependencies among those factors, while quantitative finding paves a way to efficiently make risk-based decisions to deal with the pandemic risks under uncertainty.

Item Type: Article
Creators:
CreatorsEmail
Khoshakhlagh, A.UNSPECIFIED
Hanifi, S. M.UNSPECIFIED
Laal, F.UNSPECIFIED
Zarei, E.UNSPECIFIED
Dalakeh, F.UNSPECIFIED
Safarpour, H.UNSPECIFIED
Madvari, R. F.UNSPECIFIED
Keywords: COVID 19 uncertainty HFACS Bayesian network manufacturing enterprises fuzzy accidents covid-19 reliability number Engineering
Divisions:
Page Range: p. 22
Journal or Publication Title: Theoretical Issues in Ergonomics Science
Journal Index: ISI
Identification Number: https://doi.org/10.1080/1463922x.2023.2223254
ISSN: 1463-922X
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/4474

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