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Integrating Human Barriers in Human Reliability Analysis: A New Model for the Energy Sector

Author

Listed:
  • Dina Guglielmi

    (Department of Educational Science, University of Bologna, Viale Filippo Re 6, 40126 Bologna, Italy)

  • Alessio Paolucci

    (Department of Educational Science, University of Bologna, Viale Filippo Re 6, 40126 Bologna, Italy)

  • Valerio Cozzani

    (LISES—Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Via Terracini 28, 40131 Bologna, Italy)

  • Marco Giovanni Mariani

    (Department of Psychology, University of Bologna, Via Berti Pichat 5, 40126 Bologna, Italy)

  • Luca Pietrantoni

    (Department of Psychology, University of Bologna, Via Berti Pichat 5, 40126 Bologna, Italy)

  • Federico Fraboni

    (Department of Psychology, University of Bologna, Via Berti Pichat 5, 40126 Bologna, Italy)

Abstract

Human reliability analysis (HRA) is a major concern for organizations. While various tools, methods, and instruments have been developed by the scientific community to assess human error probability, few of them actually consider human factors impact in their analysis. The active role that workers have in shaping their own performance should be taken into account in order to understand the causal factors that may lead to errors while performing a task and identifying which human factors may prevent errors from occurring. In line with this purpose, the aim of this study is to present a new methodology for the assessment of human reliability. The proposed model relies on well-known HRA methodologies (such as SPAR-H and HEART) and integrates them in a unified framework in which human factors assume the role of safety barriers against human error. A test case of the new method was carried out in a logistics hub of an energy company. Our results indicate that human factors play a significant role in preventing workers from making errors while performing tasks by reducing human error probability. The limits and implications of the study are discussed.

Suggested Citation

  • Dina Guglielmi & Alessio Paolucci & Valerio Cozzani & Marco Giovanni Mariani & Luca Pietrantoni & Federico Fraboni, 2022. "Integrating Human Barriers in Human Reliability Analysis: A New Model for the Energy Sector," IJERPH, MDPI, vol. 19(5), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2797-:d:760279
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    References listed on IDEAS

    as
    1. Kariuki, S.G. & Löwe, K., 2007. "Integrating human factors into process hazard analysis," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1764-1773.
    2. Marco Giovanni Mariani & Michela Vignoli & Rita Chiesa & Francesco Saverio Violante & Dina Guglielmi, 2019. "Improving Safety through Non-Technical Skills in Chemical Plants: The Validity of a Questionnaire for the Self-Assessment of Workers," IJERPH, MDPI, vol. 16(6), pages 1-14, March.
    3. Laumann, Karin & Rasmussen, Martin, 2016. "Suggested improvements to the definitions of Standardized Plant Analysis of Risk-Human Reliability Analysis (SPAR-H) performance shaping factors, their levels and multipliers and the nominal tasks," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 287-300.
    4. Wang, Lijing & Wang, Yanlong & Chen, Yingchun & Pan, Xing & Zhang, Wenjin, 2020. "Performance shaping factors dependence assessment through moderating and mediating effect analysis," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
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