BN-SLIM: A Bayesian Network methodology for human reliability assessment based on Success Likelihood Index Method (SLIM)

Shokoufeh Abrishami, Nima Khakzad, Seyed Mahmoud Hosseini and Pieter van Gelder

Reliability Engineering and System Safety, 2020, vol. 193, issue C

Abstract: Success Likelihood Index Model (SLIM) is one of the widely-used deterministic techniques in human reliability assessment especially when data is insufficient. However, this method suffers from epistemic uncertainty as it extremely relies on expert judgment for determining the model parameters such as the rates and weights of the performance shaping factors (PSFs). Besides, given an operation consisting of several tasks, SLIM calculates the human error probability (HEP) by ignoring possible dependencies among the tasks.

Keywords: Human error probability; Bayesian Network; Success Likelihood Index Model; Uncertainty modeling; Dependency analysis; Criticality analysis (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019305356

DOI: 10.1016/j.ress.2019.106647

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