A quantitative measure of fitness for duty and work processes for human reliability analysis. (November 2017)

• Record Type: Journal Article
• Authors: Kim, Yochan; Park, Jinkyun; Jung, Wondea
• Is Part Of: Reliability engineering & system safety. Volume 167(2017)
• Page Start: 595
• Page End: 601
• Publication Date: 2017-11
• Subjects: Human reliability analysis -- Work processes -- Fitness for duty -- Safety culture -- Quantitative measure -- Performance shaping factor; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2017.07.012
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: It is necessary to quantitatively determine the levels of fitness for duty and work processes. We propose a framework to quantitatively measure a level of the PSFs. This methodology calculates the error occurrence intervals and their moving average. The proposed framework is applied to the HuRAM+ database. 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.