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Title: Lessons Learned on Benchmarking from the International Human Reliability Analysis Empirical Study

Abstract

The International Human Reliability Analysis (HRA) Empirical Study is a comparative benchmark of the prediction of HRA methods to the performance of nuclear power plant crews in a control room simulator. There are a number of unique aspects to the present study that distinguish it from previous HRA benchmarks, most notably the emphasis on a method-to-data comparison instead of a method-to-method comparison. This paper reviews seven lessons learned about HRA benchmarking from conducting the study: (1) the dual purposes of the study afforded by joining another HRA study; (2) the importance of comparing not only quantitative but also qualitative aspects of HRA; (3) consideration of both negative and positive drivers on crew performance; (4) a relatively large sample size of crews; (5) the use of multiple methods and scenarios to provide a well-rounded view of HRA performance; (6) the importance of clearly defined human failure events; and (7) the use of a common comparison language to “translate” the results of different HRA methods. These seven lessons learned highlight how the present study can serve as a useful template for future benchmarking studies.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Idaho National Laboratory (INL)
Sponsoring Org.:
USDOE
OSTI Identifier:
978370
Report Number(s):
INL/CON-10-18552
TRN: US1002968
DOE Contract Number:  
DE-AC07-05ID14517
Resource Type:
Conference
Resource Relation:
Conference: 10th International Probabilistic Safety Assessment & Management Conference (PSAM10),Seattle, WA,06/07/2010,06/11/2010
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; BENCHMARKS; CONTROL ROOMS; FORECASTING; MANAGEMENT; NUCLEAR POWER PLANTS; PERFORMANCE; PROBABILISTIC ESTIMATION; RELIABILITY; RISK ASSESSMENT; benchmark; human reliability analysis; lessons learned

Citation Formats

Boring, Ronald L, Forester, John A, Bye, Andreas, Dang, Vinh N, and Lois, Erasmia. Lessons Learned on Benchmarking from the International Human Reliability Analysis Empirical Study. United States: N. p., 2010. Web.
Boring, Ronald L, Forester, John A, Bye, Andreas, Dang, Vinh N, & Lois, Erasmia. Lessons Learned on Benchmarking from the International Human Reliability Analysis Empirical Study. United States.
Boring, Ronald L, Forester, John A, Bye, Andreas, Dang, Vinh N, and Lois, Erasmia. Tue . "Lessons Learned on Benchmarking from the International Human Reliability Analysis Empirical Study". United States. https://www.osti.gov/servlets/purl/978370.
@article{osti_978370,
title = {Lessons Learned on Benchmarking from the International Human Reliability Analysis Empirical Study},
author = {Boring, Ronald L and Forester, John A and Bye, Andreas and Dang, Vinh N and Lois, Erasmia},
abstractNote = {The International Human Reliability Analysis (HRA) Empirical Study is a comparative benchmark of the prediction of HRA methods to the performance of nuclear power plant crews in a control room simulator. There are a number of unique aspects to the present study that distinguish it from previous HRA benchmarks, most notably the emphasis on a method-to-data comparison instead of a method-to-method comparison. This paper reviews seven lessons learned about HRA benchmarking from conducting the study: (1) the dual purposes of the study afforded by joining another HRA study; (2) the importance of comparing not only quantitative but also qualitative aspects of HRA; (3) consideration of both negative and positive drivers on crew performance; (4) a relatively large sample size of crews; (5) the use of multiple methods and scenarios to provide a well-rounded view of HRA performance; (6) the importance of clearly defined human failure events; and (7) the use of a common comparison language to “translate” the results of different HRA methods. These seven lessons learned highlight how the present study can serve as a useful template for future benchmarking studies.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2010},
month = {6}
}

Conference:
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