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Analysis of dependencies among performance shaping factors in human reliability analysis based on a system dynamics approach

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  • Liu, Jianqiao
  • Zou, Yanhua
  • Wang, Wei
  • Zhang, Li
  • Liu, Xueyang
  • Ding, Qianqiao
  • Qin, Zhuomin
  • ÄŒepin, Marko

Abstract

Performance shaping factors (PSFs) describe the influence of given contexts on human performance and are used to quantify human error probabilities (HEPs). HEPs are calculated within human reliability analysis, which is a part of probabilistic risk assessment. One challenge lies in the fact that the dependencies among PSFs are neglected, which leads to the poor estimation of HEPs. The objective of this research is to apply a system dynamics approach to the modeling and analysis of the dependencies of PSFs within the standardized plant analysis of risk–human reliability analysis method. Dependencies are built on the causalities of PSFs and are determined by the mutual information theory and the analytic hierarchy process.

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  • Liu, Jianqiao & Zou, Yanhua & Wang, Wei & Zhang, Li & Liu, Xueyang & Ding, Qianqiao & Qin, Zhuomin & ÄŒepin, Marko, 2021. "Analysis of dependencies among performance shaping factors in human reliability analysis based on a system dynamics approach," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    • Handle: RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021004099
    DOI: 10.1016/j.ress.2021.107890
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    as
    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. 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.
    3. Chang, Y.H.J. & Mosleh, A., 2007. "Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1041-1060.
    4. Jinkyun Park, 2009. "The Complexity of Proceduralized Tasks," Springer Series in Reliability Engineering, Springer, number 978-1-84882-791-2, February.
    5. Chang, Y.H.J. & Mosleh, A., 2007. "Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1076-1101.
    6. Ham, Dong-Han & Park, Jinkyun & Jung, Wondea, 2012. "Model-based identification and use of task complexity factors of human integrated systems," Reliability Engineering and System Safety, Elsevier, vol. 100(C), pages 33-47.
    7. Peng Liu & Zhizhong Li, 2014. "Human Error Data Collection and Comparison with Predictions by SPAR‐H," Risk Analysis, John Wiley & Sons, vol. 34(9), pages 1706-1719, September.
    8. Park, Jinkyun, 2014. "Investigating the TACOM measure as a general tool for quantifying the complexity of procedure guided tasks," Reliability Engineering and System Safety, Elsevier, vol. 129(C), pages 66-75.
    9. 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.
    10. Chang, Y.H.J. & Mosleh, A., 2007. "Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 2: IDAC performance influencing factors model," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1014-1040.
    11. Musharraf, Mashrura & Bradbury-Squires, David & Khan, Faisal & Veitch, Brian & MacKinnon, Scott & Imtiaz, Syed, 2014. "A virtual experimental technique for data collection for a Bayesian network approach to human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 1-8.
    12. Chang, Y.H.J. & Mosleh, A., 2007. "Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 4: IDAC causal model of operator problem-solving response," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1061-1075.
    13. Chang, Y.H.J. & Mosleh, A., 2007. "Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 997-1013.
    14. James M. Murphy & David M. H. Sexton & David N. Barnett & Gareth S. Jones & Mark J. Webb & Matthew Collins & David A. Stainforth, 2004. "Quantification of modelling uncertainties in a large ensemble of climate change simulations," Nature, Nature, vol. 430(7001), pages 768-772, August.
    15. Dong, Xiaolu & Li, Zhizhong, 2011. "A study on the effect of training interval on the use of computerized emergency operatingprocedures," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 250-256.
    16. 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).
    17. 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.
    18. Wood, Robert E., 1986. "Task complexity: Definition of the construct," Organizational Behavior and Human Decision Processes, Elsevier, vol. 37(1), pages 60-82, February.
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