An algorithm for evaluating time-related human reliability using instrumentation cues and procedure cues

The performance time of human operators has been recognized as a key aspect of human reliability in socio-complex systems, including nuclear industries. Because of the importance of the time factor, most existing human reliability assessment methods provide ways to quantify human error probabilities...

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Veröffentlicht in:Nuclear engineering and technology 2021, 53(2), , pp.368-375
Hauptverfasser: Kim, Yochan, Kim, Jaewhan, Park, Jinkyun, Choi, Sun Yeong, Kim, Seunghwan, Jung, Wondea, Kim, Hee Eun, Shin, Seung Ki
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Sprache:eng
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Zusammenfassung:The performance time of human operators has been recognized as a key aspect of human reliability in socio-complex systems, including nuclear industries. Because of the importance of the time factor, most existing human reliability assessment methods provide ways to quantify human error probabilities (HEPs) that are associated with the performance time. To quantify such kinds of HEPs, it is crucial to rationally predict the length of time required and time available and compare them. However, there have not been detailed guidelines that identify the critical cue presentation time or initial time of human performance, which is important to calculate the time information. In this paper, we introduce a time-related HEP calculation technique with a decision algorithm that determines the critical cue and its timing. The calculation process is presented with the application examples. It is expected that the proposed algorithm will reduce the variability in the time-related reliability assessment and strengthen the scientific evidence of the assessment process. The detailed description is provided in the technical report KAERI/TR-7607/2019. •The human performance time is an important factor of HRA.•This paper introduces an algorithm to clearly assess the time required and time available.•Based on the time information, the time-related reliability can be assessed.•The algorithm is implemented in software.
ISSN:1738-5733
2234-358X
DOI:10.1016/j.net.2020.08.015