• DocumentCode
    2728500
  • Title

    Probing Human Error as Causal Factor in Incidents with Major Accident Potential

  • Author

    Aas, Andreas Lumbe

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Norwegian Univ. of Sci. & Technol. (NTNU), Trondheim, Norway
  • fYear
    2009
  • fDate
    1-7 Feb. 2009
  • Firstpage
    272
  • Lastpage
    276
  • Abstract
    Existing literature suggests that human error is directly linked to the majority of industrial incidents and accidents. The increasing use of computers and software in safety-critical systems makes systems more integrated and dependent and this can increase the risk if barrier integrity is reduced. This paper demonstrates how the Human Factors Assessment and Classification System (HFACS) can be applied to analyze incidents with major accident potential. One report from a Norwegian offshore Oil & Gas incident with major accident potential was analyzed to classify the causal factors for the purpose of making a relative comparison of these factors. The results revealed that failures on the organizational level were the most prevailing, representing almost three-quarters of all causal factors, while unsafe acts represented fourteen percent. Thus, organizational factors appear essential in risk management and failures on the organizational level require more attention to mitigate risks in the future.
  • Keywords
    human factors; occupational health; occupational safety; Human Factors Assessment and Classification System; Norwegian offshore Oil & Gas incident; causal factor; major accident potential; probing human error; safety-critical systems; Air accidents; Computer errors; Computer industry; Dairy products; Electric breakdown; Human factors; Industrial accidents; Information science; Petroleum; Software safety; HFACS; Human Factors; accident analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Society, 2009. ICDS '09. Third International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4244-3550-6
  • Electronic_ISBN
    978-0-7695-3526-5
  • Type

    conf

  • DOI
    10.1109/ICDS.2009.39
  • Filename
    4782887