Abstract
Dependence assessment refers to a method for adjusting the failure probability for the following action by considering the impact of the preceding action in human reliability analysis (HRA). This paper introduces a method for dependence assessment using performance shaping factors (PSFs), which is a different approach compared to existing dependency methods based on the Technique for Human Error-Rate Prediction (THERP). To be specific, the method presented here focuses on PSFs affecting multiple human actions and suggests how to quantify dependencies between human actions based on mathematical models and if-then logic for the PSFs. In this paper, the fundamental approach is introduced with a comparison to existing dependency methods. This paper also describes how we have developed the method.
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Acknowledgments
This work of authorship was prepared as an account of work sponsored by Idaho National Laboratory (under Contract DE-AC07-05ID14517), an agency of the U.S. Government. Neither the U.S. Government, nor any agency thereof, nor any of their employees makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.
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Park, J., Boring, R.L. (2021). Identification of Performance Shaping Factors Affecting Subsequent Human Actions for Dependence Assessment in Human Reliability Analysis. In: Arezes, P.M., Boring, R.L. (eds) Advances in Safety Management and Human Performance. AHFE 2021. Lecture Notes in Networks and Systems, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-80288-2_6
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DOI: https://doi.org/10.1007/978-3-030-80288-2_6
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