 Application of Bayesian Belief networks to the human reliability analysis of an oil tanker operation focusing on collision accidentsMarcelo Ramos Martins and Marcos Coelho Maturana Reliability Engineering and System Safety, 2013, vol. 110, issue C, 89-109 Abstract: During the last three decades, several techniques have been developed for the quantitative study of human reliability. In the 1980s, techniques were developed to model systems by means of binary trees, which did not allow for the representation of the context in which human actions occur. Thus, these techniques cannot model the representation of individuals, their interrelationships, and the dynamics of a system. These issues make the improvement of methods for Human Reliability Analysis (HRA) a pressing need. To eliminate or at least attenuate these limitations, some authors have proposed modeling systems using Bayesian Belief Networks (BBNs). The application of these tools is expected to address many of the deficiencies in current approaches to modeling human actions with binary trees. Keywords: Probabilistic risk assessment (PRA); Human reliability analysis (HRA); Bayesian belief networks (BBNs); Collision; Oil tanker (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:110:y:2013:i:c:p:89-109 DOI: 10.1016/j.ress.2012.09.008 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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