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A probabilistic cognitive simulator for HRA studies (PROCOS)

Author

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  • Trucco, P.
  • Leva, M.C.

Abstract

The paper deals with the development of a simulator for approaching human errors in complex operational frameworks (e.g., plant commissioning). The aim is to integrate the quantification capabilities of the so-called ‘first-generation’ human reliability assessment (HRA) methods with a cognitive evaluation of the operator. The simulator allows analysing both error prevention and error recovery. It integrates cognitive human error analysis with standard hazard analysis methods (Hazop and event tree) by means of a ‘semi static approach’. The comparison between the results obtained through the proposed approach and those of a traditional HRA method such as human error assessment and reduction technique, shows the capability of the simulator to provide coherent and accurate analysis.

Suggested Citation

  • Trucco, P. & Leva, M.C., 2007. "A probabilistic cognitive simulator for HRA studies (PROCOS)," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1117-1130.
  • Handle: RePEc:eee:reensy:v:92:y:2007:i:8:p:1117-1130
    DOI: 10.1016/j.ress.2006.06.003
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    Citations

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    Cited by:

    1. Palmer, C. & Chung, P.W.H., 2009. "An automated system for batch hazard and operability studies," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1095-1106.
    2. Catelani, Marcantonio & Ciani, Lorenzo & Guidi, Giulia & Patrizi, Gabriele, 2021. "An enhanced SHERPA (E-SHERPA) method for human reliability analysis in railway engineering," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    3. Vaurio, Jussi K., 2009. "Human factors, human reliability and risk assessment in license renewal of a nuclear power plant," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1818-1826.
    4. Di Pasquale, Valentina & Miranda, Salvatore & Iannone, Raffaele & Riemma, Stefano, 2015. "A Simulator for Human Error Probability Analysis (SHERPA)," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 17-32.
    5. De Ambroggi, Massimiliano & Trucco, Paolo, 2011. "Modelling and assessment of dependent performance shaping factors through Analytic Network Process," Reliability Engineering and System Safety, Elsevier, vol. 96(7), pages 849-860.

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