 A quantitative measure of fitness for duty and work processes for human reliability analysisYochan Kim, Jinkyun Park and Wondea Jung Reliability Engineering and System Safety, 2017, vol. 167, issue C, 595-601 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. Keywords: Human reliability analysis; Work processes; Fitness for duty; Safety culture; Quantitative measure; Performance shaping factor (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:167:y:2017:i:c:p:595-601 DOI: 10.1016/j.ress.2017.07.012 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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