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Identifying key performance shaping factors in digital main control rooms of nuclear power plants: A risk-based approach

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  • Liu, Peng
  • Lyu, Xi
  • Qiu, Yongping
  • He, Jiandong
  • Tong, Jiejuan
  • Zhao, Jun
  • Li, Zhizhong

Abstract

Various human reliability analysis (HRA) methods use performance shaping factors (PSFs) to model operator performance. The tendency in HRA is to increase the number of PSFs. However, using many PSFs may negatively affect the quality of HRA outcomes. An elite-set PSF model with key PSFs is lacking. We therefore suggest a risk-based approach for identifying the key PSFs by ranking their risks to operator performance. In this approach, we elicit nuclear power plant (NPP) operators’ perceptions of the frequency and impact of PSF indicators in main control rooms (MCRs), quantify the perceived risk scores of PSFs by multiplying their perceived frequency and impact, and classify PSF risk levels according to the suggested PSF risk matrix. Licensed operators (N = 33) from a digital NPP MCR participated in our survey. The top-ranked PSFs in terms of perceived risk score and the PSFs at the High Risk level were identified as the key PSFs from the surveyed NPP MCR. A comparison with other studies indicates that the importance of these key PSFs has been previously recognized, implying that the risk-based approach can yield meaningful results for ranking and identifying the key PSFs.

Suggested Citation

  • Liu, Peng & Lyu, Xi & Qiu, Yongping & He, Jiandong & Tong, Jiejuan & Zhao, Jun & Li, Zhizhong, 2017. "Identifying key performance shaping factors in digital main control rooms of nuclear power plants: A risk-based approach," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 264-275.
  • Handle: RePEc:eee:reensy:v:167:y:2017:i:c:p:264-275
    DOI: 10.1016/j.ress.2017.06.002
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    References listed on IDEAS

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    1. Liu, Peng & Li, Zhizhong, 2014. "Comparison of task complexity measures for emergency operating procedures: Convergent validity and predictive validity," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 289-293.
    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. Robert G. Bea, 2002. "Human and Organizational Factors in Reliability Assessment and Management of Offshore Structures," Risk Analysis, John Wiley & Sons, vol. 22(1), pages 29-45, February.
    4. 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.
    5. Thomas L. Saaty & Luis G. Vargas, 2006. "Decision Making with the Analytic Network Process," International Series in Operations Research and Management Science, Springer, number 978-0-387-33987-0, September.
    6. Mohaghegh, Zahra & Kazemi, Reza & Mosleh, Ali, 2009. "Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 1000-1018.
    7. 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.
    8. Griffith, Candice D. & Mahadevan, Sankaran, 2011. "Inclusion of fatigue effects in human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1437-1447.
    9. Kim, Yochan & Park, Jinkyun & Jung, Wondea & Jang, Inseok & Hyun Seong, Poong, 2015. "A statistical approach to estimating effects of performance shaping factors on human error probabilities of soft controls," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 378-387.
    10. Jinkyun Park, 2009. "The Complexity of Proceduralized Tasks," Springer Series in Reliability Engineering, Springer, number 978-1-84882-791-2, December.
    11. 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.
    12. 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.
    13. Mkrtchyan, L. & Podofillini, L. & Dang, V.N., 2016. "Methods for building Conditional Probability Tables of Bayesian Belief Networks from limited judgment: An evaluation for Human Reliability Application," Reliability Engineering and System Safety, Elsevier, vol. 151(C), pages 93-112.
    14. Thomas L. Saaty, 2006. "The Analytic Network Process," International Series in Operations Research & Management Science, in: Decision Making with the Analytic Network Process, chapter 0, pages 1-26, Springer.
    15. 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.
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    2. Liu, Jianqiao & Zou, Yanhua & Wang, Wei & Zio, Enrico & Yuan, Chengwei & Wang, Taorui & Jiang, Jianjun, 2022. "A Bayesian belief network framework for nuclear power plant human reliability analysis accounting for dependencies among performance shaping factors," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    3. Liu, Peng & Qiu, Yongping & Hu, Juntao & Tong, Jiejuan & Zhao, Jun & Li, Zhizhong, 2020. "Expert judgments for performance shaping Factors’ multiplier design in human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 194(C).

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