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Auto-CREAM: Software application for evaluation of HEP with basic and extended CREAM for PSA studies

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  • Garg, Vipul
  • Vinod, Gopika
  • Kant, Vivek

Abstract

Human Reliability Analysis (HRA) enables the estimation of the contribution of erroneous actions from the control room and field operators towards the overall risk, as Human Error Probability (HEP). A challenge usually encountered in HRA is inaccuracy in manual calculation of HEP and variance in the evaluated HEP results for the same case study by different HRA practitioners; owing to unavailability of professional software tools for HRA, unlike plenty of such tools available for Probabilistic Safety Assessment (PSA). CREAM, a widely used second generation HRA method quantifies the conditional failure probability of operator's cognition with respect to the context. Since it is a detailed method based on the concepts of cognition, manual evaluation of HEP with CREAM still remains a cumbersome and error prone process. The objective of this article is to address these challenges by automating and validating the CREAM predictive analysis as a software application. In developing the application, the research contribution of this paper is implementation of uncertainty and sensitivity analysis of the probability of Human Failure Event (HFE) i.e. P(HFE/Context). Uncertainty analysis in Auto-CREAM is performed using a numerical technique, unlike the expert elicitation or empirical approaches adopted by HRA methods.

Suggested Citation

  • Garg, Vipul & Vinod, Gopika & Kant, Vivek, 2023. "Auto-CREAM: Software application for evaluation of HEP with basic and extended CREAM for PSA studies," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:reensy:v:236:y:2023:i:c:s0951832023002326
    DOI: 10.1016/j.ress.2023.109318
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    1. 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.
    2. 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.
    3. Park, Jinkyun & Jung, Wondea, 2007. "OPERA—a human performance database under simulated emergencies of nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 92(4), pages 503-519.
    4. Bedford, Tim & Bayley, Clare & Revie, Matthew, 2013. "Screening, sensitivity, and uncertainty for the CREAM method of Human Reliability Analysis," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 100-110.
    5. Park, Jooyoung & Boring, Ronald L. & Ulrich, Thomas A. & Lew, Roger & Lee, Sungheon & Park, Bumjun & Kim, Jonghyun, 2022. "A framework to collect human reliability analysis data for nuclear power plants using a simplified simulator and student operators," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    6. Garg, Vipul & Vinod, Gopika & Prasad, Mahendra & Chattopadhyay, J. & Smith, Curtis & Kant, Vivek, 2023. "Human reliability analysis studies from simulator experiments using Bayesian inference," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    7. He, Ye & Kuai, Nian-Sheng & Deng, Li-Min & He, Xiong-Yuan, 2021. "A method for assessing Human Error Probability through physiological and psychological factors tests based on CREAM and its applications," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    8. Su, Xiaoyan & Mahadevan, Sankaran & Xu, Peida & Deng, Yong, 2014. "Inclusion of task dependence in human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 128(C), pages 41-55.
    9. Wang, Zengkai & Zeng, Shengkui & Guo, Jianbin & Che, Haiyang, 2021. "A Bayesian network for reliability assessment of man-machine phased-mission system considering the phase dependencies of human cognitive error," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    10. 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.
    11. Liu, Hu-Chen & Li, Zhaojun & Zhang, Jian-Qing & You, Xiao-Yue, 2018. "A large group decision making approach for dependence assessment in human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 135-144.
    12. Paglioni, Vincent P. & Groth, Katrina M., 2022. "Dependency definitions for quantitative human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    13. Arigi, Awwal Mohammed & Park, Gayoung & Kim, Jonghyun, 2020. "Dependency analysis method for human failure events in multi-unit probabilistic safety assessments," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
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