TY - GEN
T1 - The HUNTER Dynamic Human Reliability Analysis Tool
T2 - 16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022
AU - Park, Jooyoung
AU - Boring, Ronald
AU - Ulrich, Thomas
AU - Ahn, Jeeyea
AU - Heo, Yunyeong
N1 - Funding Information:
The authors wish to thank the Risk-Informed System Analysis (RISA) Pathway of the U.S. Department of Energy’s Light Water Reactor Sustainability Program for its support of the research activities presented in this paper. We particularly thank Svetlana Lawrence, pathway lead for RISA, for her contributions in shaping the industry focus of the software development; Jong-Yoon Choi, for his careful review of the original HUNTER framework and recommendations for software implementation; and Curtis Smith, director of the Nuclear Safety and Regulatory Research division at Idaho National Laboratory, for championing dynamic and computation-based human reliability analysis approaches.
Funding Information:
The authors wish to thank the Risk-Informed System Analysis (RISA) Pathway of the U.S. Department of Energy's Light Water Reactor Sustainability Program for its support of the research activities presented in this paper. We particularly thank Svetlana Lawrence, pathway lead for RISA, for her contributions in shaping the industry focus of the software development; Jong-Yoon Choi, for his careful review of the original HUNTER framework and recommendations for software implementation; and Curtis Smith, director of the Nuclear Safety and Regulatory Research division at Idaho National Laboratory, for championing dynamic and computation-based human reliability analysis approaches.
Publisher Copyright:
© 2022 Probabilistic Safety Assessment and Management, PSAM 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) is a framework to support dynamic human reliability analysis (HRA) in communication with a variety of methods and tools. This paper explores how we developed one of the HUNTER modules: namely, the Individual module for evaluating performance shaping factors (PSFs). A PSF is any factor that influences human performance (e.g., workload or complexity). In the existing HRA, they are used to highlight human errors and adjust error probabilities. We consider the eight PSFs suggested in the Standardized Plant Analysis Risk-HRA (SPAR-H) method, a representative HRA method widely used in the nuclear field. To support our dynamic modeling using the eight SPAR-H PSFs, we reviewed the human performance literature and developed data-based mathematical models to rate and quantify PSFs in the context of dynamic HRA. We also designed the Individual module to consist of two functions: (1) the PSF qualification function for automatically or manually evaluating PSF levels, and (2) the PSF quantification function for dynamically or statically determining PSF multiplier values and integrating them to adjust human error probabilities (HEPs). How each function works in regard to the SPAR-H PSFs, and how the PSFs serve to adjust the HEPs, were investigated via literature review and are discussed in this paper.
AB - The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) is a framework to support dynamic human reliability analysis (HRA) in communication with a variety of methods and tools. This paper explores how we developed one of the HUNTER modules: namely, the Individual module for evaluating performance shaping factors (PSFs). A PSF is any factor that influences human performance (e.g., workload or complexity). In the existing HRA, they are used to highlight human errors and adjust error probabilities. We consider the eight PSFs suggested in the Standardized Plant Analysis Risk-HRA (SPAR-H) method, a representative HRA method widely used in the nuclear field. To support our dynamic modeling using the eight SPAR-H PSFs, we reviewed the human performance literature and developed data-based mathematical models to rate and quantify PSFs in the context of dynamic HRA. We also designed the Individual module to consist of two functions: (1) the PSF qualification function for automatically or manually evaluating PSF levels, and (2) the PSF quantification function for dynamically or statically determining PSF multiplier values and integrating them to adjust human error probabilities (HEPs). How each function works in regard to the SPAR-H PSFs, and how the PSFs serve to adjust the HEPs, were investigated via literature review and are discussed in this paper.
UR - https://www.scopus.com/pages/publications/85146216537
M3 - Conference contribution
AN - SCOPUS:85146216537
BT - 16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022
Y2 - 26 June 2022 through 1 July 2022
ER -