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A quantitative measure of fitness for duty and work processes for human reliability analysis

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  • Kim, Yochan
  • Park, Jinkyun
  • Jung, Wondea

Abstract

Fitness for duty and work processes have been recognized as important performance shaping factors (PSFs) for human reliability analysis (HRA). However, current HRA methods offer no or limited guidance for determining PSF levels, so analysts have relied on their expert judgment during the selection of such levels. In this study, we propose a practical framework to quantitatively measure the levels of socio-psychological PSFs using human error data, based on plant experiences. This methodology calculates the error occurrence intervals and their moving average for a certain error cause reported in inspection reports. The proposed framework is applied to the HuRAM+ (Human related event Root cause Analysis Method plus) database as a case study. The usefulness and requirements of the proposed framework are then discussed.

Suggested Citation

  • Kim, Yochan & Park, Jinkyun & Jung, Wondea, 2017. "A quantitative measure of fitness for duty and work processes for human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 595-601.
    • Handle: RePEc:eee:reensy:v:167:y:2017:i:c:p:595-601
    DOI: 10.1016/j.ress.2017.07.012
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    References listed on IDEAS

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    Cited by:

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    2. Patriarca, Riccardo & Ramos, Marilia & Paltrinieri, Nicola & Massaiu, Salvatore & Costantino, Francesco & Di Gravio, Giulio & Boring, Ronald Laurids, 2020. "Human reliability analysis: Exploring the intellectual structure of a research field," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    3. Ham, Dong-Han & Park, Jinkyun, 2020. "Use of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    4. Wang, Wei & Di Maio, Francesco & Zio, Enrico, 2020. "Considering the human operator cognitive process for the interpretation of diagnostic outcomes related to component failures and cyber security attacks," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    5. 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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