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Human reliability assessment for complex physical operations in harsh operating conditions


Golestani, N and Abbassi, R and Garaniya, V and Asadnia, M and Khan, F, Human reliability assessment for complex physical operations in harsh operating conditions, Process Safety and Environmental Protection, 140 pp. 1-13. ISSN 0957-5820 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 Institution of Chemical Engineers

DOI: doi:10.1016/j.psep.2020.04.026


This paper presents a methodology for quantifying the effect of harsh environmental conditions on the reliability of human actions in performing complex physical operations. A review of current human reliability techniques confirms that there is a lack of methodology for quantifying human errors while conducting complex physical operations in extreme environments. The developed methodology is based on a hierarchical Bayesian network accounting for causal dependencies among environmental factors, human error modes, and scenario-based activities. Also, a new model is developed with three reference points (awareness of the situation, access to a system, and action) that derives human error modes (HEMs) from physiological failure mechanisms and helps an analyst identify the root causes of human errors. The proposed methodology is applied to estimate the likelihood of human error in two different scenarios in harsh operating conditions in floating offshore structures. The two scenarios are a set of different human activities in a workplace under defined operational and environmental conditions. The proposed methodology helps enhance the safety of human performance while considering effective physical factors. It will also help to reform current regulations for working in harsh environments.

Item Details

Item Type:Refereed Article
Keywords:human reliability analysis (HRA), human error modes (HEMs), Bayesian network, physical factors, harsh environment
Research Division:Engineering
Research Group:Maritime engineering
Research Field:Ocean engineering
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Golestani, N (Mr Nima Golestani)
UTAS Author:Abbassi, R (Dr Rouzbeh Abbassi)
UTAS Author:Garaniya, V (Associate Professor Vikram Garaniya)
UTAS Author:Khan, F (Professor Faisal Khan)
ID Code:139038
Year Published:2020
Web of Science® Times Cited:12
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2020-05-23
Last Modified:2020-08-18

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