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An Experimental Study on Developing a Cognitive Model for Human Reliability Analysis

In: Theory and Application on Cognitive Factors and Risk Management - New Trends and Procedures

Author

Listed:
  • Antonella Petrillo
  • Fabio De Felice
  • Domenico Falcone
  • Alessandro Silvestri

Abstract

Serious incidents that occur inside or caused by industrial plants represent a very critical issue. In this context, the human reliability analysis (HRA) is an important tool to assess human factors that influence human behaviour in disasters scenario. In fact, the reliability assessment of interaction between human-machine systems is an important factor that affects the overall performance and safety in industrial plants. However, even though HRA techniques have been available for decades, there is not a universal method/procedure to reduce human errors that affect human performance. This study aims to design a novel approach to investigate the relationship between human reliability and operator performance considering the dependence on the available time to make decisions.

Suggested Citation

  • Antonella Petrillo & Fabio De Felice & Domenico Falcone & Alessandro Silvestri, 2017. "An Experimental Study on Developing a Cognitive Model for Human Reliability Analysis," Chapters, in: Fabio De Felice & Antonella Petrillo (ed.), Theory and Application on Cognitive Factors and Risk Management - New Trends and Procedures, IntechOpen.
    • Handle: RePEc:ito:pchaps:115284
    DOI: 10.5772/intechopen.69230
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    More about this item

    Keywords

    disaster management; human reliability analysis; cognitive model; PSFs;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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