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

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

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.

Suggested Citation

  • Abrishami, Shokoufeh & Khakzad, Nima & Hosseini, Seyed Mahmoud & van Gelder, Pieter, 2020. "BN-SLIM: A Bayesian Network methodology for human reliability assessment based on Success Likelihood Index Method (SLIM)," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019305356
    DOI: 10.1016/j.ress.2019.106647
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