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Dependency definitions for quantitative human reliability analysis

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  • Paglioni, Vincent P.
  • Groth, Katrina M.

Abstract

Human reliability analysis (HRA) identifies the causal factors impacting the occurrence of human failure events and quantifies probabilities based on those causal factors. Quantification requires understanding the dependency structures that exist between failure events and causal factors. Most HRA methods incorporate the dependency framework established in the Technique for Human Error Rate Prediction (THERP), which approaches dependency as a simple multiplier on HEPs resulting from considering only a few factors. Accordingly, modern HRA methods have a limited ability and accuracy when characterizing dependency. The fundamental concept of dependency in HRA methods is approaching 60 years without a serious assessment of its veracity or applicability. Misconceptions and confusion surrounding fundamental concepts in HRA are largely responsible for the lack of substantive improvement in the technical basis of dependency. This paper defines dependency for HRA and provides clarification and unification around related concepts. We propose a standardized library of key terms and mathematics to provide a basis for the development of a dependency framework. We clarify the meaning of, and difference between, critical dependency concepts and propose a general lexicography for decomposing scenarios. We present a holistic linguistic and mathematical definition for dependency in HRA.

Suggested Citation

  • Paglioni, Vincent P. & Groth, Katrina M., 2022. "Dependency definitions for quantitative human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
  • Handle: RePEc:eee:reensy:v:220:y:2022:i:c:s095183202100747x
    DOI: 10.1016/j.ress.2021.108274
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    References listed on IDEAS

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    1. Greco, Salvatore F. & Podofillini, Luca & Dang, Vinh N., 2021. "A Bayesian model to treat within-category and crew-to-crew variability in simulator data for Human Reliability Analysis," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    2. James Chang, Y. & Bley, Dennis & Criscione, Lawrence & Kirwan, Barry & Mosleh, Ali & Madary, Todd & Nowell, Rodney & Richards, Robert & Roth, Emilie M. & Sieben, Scott & Zoulis, Antonios, 2014. "The SACADA database for human reliability and human performance," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 117-133.
    3. 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.
    4. Liao, Huafei & Forester, John & Dang, Vinh N. & Bye, Andreas & Chang, Yung Hsien J. & Lois, Erasmia, 2019. "Assessment of HRA method predictions against operating crew performance: Part I: Study background, design and methodology," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    5. Ekanem, Nsimah J. & Mosleh, Ali & Shen, Song-Hua, 2016. "Phoenix – A model-based Human Reliability Analysis methodology: Qualitative Analysis Procedure," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 301-315.
    6. Kelly, Dana L. & Smith, Curtis L., 2009. "Bayesian inference in probabilistic risk assessment—The current state of the art," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 628-643.
    7. Liao, Huafei & Forester, John & Dang, Vinh N. & Bye, Andreas & Chang, Yung Hsien J. & Lois, Erasmia, 2019. "Assessment of HRA method predictions against operating crew performance: Part III: Conclusions and achievements," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    8. Mkrtchyan, L. & Podofillini, L. & Dang, V.N., 2015. "Bayesian belief networks for human reliability analysis: A review of applications and gaps," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 1-16.
    9. Zwirglmaier, Kilian & Straub, Daniel & Groth, Katrina M., 2017. "Capturing cognitive causal paths in human reliability analysis with Bayesian network models," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 117-129.
    10. Xiaoyan Su & Sankaran Mahadevan & Peida Xu & Yong Deng, 2015. "Dependence Assessment in Human Reliability Analysis Using Evidence Theory and AHP," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1296-1316, July.
    11. Groth, Katrina M. & Smith, Reuel & Moradi, Ramin, 2019. "A hybrid algorithm for developing third generation HRA methods using simulator data, causal models, and cognitive science," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    12. Groth, Katrina M. & Smith, Curtis L. & Swiler, Laura P., 2014. "A Bayesian method for using simulator data to enhance human error probabilities assigned by existing HRA methods," Reliability Engineering and System Safety, Elsevier, vol. 128(C), pages 32-40.
    13. Liao, Huafei & Forester, John & Dang, Vinh N. & Bye, Andreas & Chang, Yung Hsien J. & Lois, Erasmia, 2019. "Assessment of HRA method predictions against operating crew performance: Part II: Overall simulator data, HRA method predictions, and intra-method comparisons," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    14. Groth, Katrina M. & Mosleh, Ali, 2012. "A data-informed PIF hierarchy for model-based Human Reliability Analysis," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 154-174.
    15. Groth, Katrina M. & Swiler, Laura P., 2013. "Bridging the gap between HRA research and HRA practice: A Bayesian network version of SPAR-H," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 33-42.
    16. Kim, Yochan & Park, Jinkyun & Jung, Wondea & Choi, Sun Yeong & Kim, Seunghwan, 2018. "Estimating the quantitative relation between PSFs and HEPs from full-scope simulator data," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 12-22.
    17. Bensi, Michelle & Kiureghian, Armen Der & Straub, Daniel, 2013. "Efficient Bayesian network modeling of systems," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 200-213.
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    4. Liu, Hu-Chen & Wang, Jing-Hui & Zhang, Ling & Zhang, Qi-Zhen, 2022. "New success likelihood index model for large group human reliability analysis considering noncooperative behaviors and social network," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
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    6. Ji, Changcheng & Gao, Fei & Liu, Wenjiang, 2024. "Dependence assessment in human reliability analysis based on cloud model and best-worst method," Reliability Engineering and System Safety, Elsevier, vol. 242(C).

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