Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 167, Issue -, Pages 595-601Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2017.07.012
Keywords
Human reliability analysis; Work processes; Fitness for duty; Safety culture; Quantitative measure; Performance shaping factor
Funding
- Nuclear Research & Development Program of the National Research Foundation of Korea grant - Korean government, Ministry of Science, ICT & Future Planning [2017M2A8A4015291]
- National Research Foundation of Korea [2017M2A8A4015291] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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. (C) 2017 Elsevier Ltd. All rights reserved.
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