Lessons learned on benchmarking from the international human reliability analysis empirical study.
- U.S. Nuclear Regulatory Commission, Washington, DC
- Paul Scherrer Institute, Villigen PSI, Switzerland
- Idaho National Laboratory, Idaho Falls, ID
- OECD Halden Reactor Project, Halden, Norway
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.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1011613
- Report Number(s):
- SAND2010-2696C; TRN: US1102190
- Resource Relation:
- Conference: Proposed for presentation at the PSAM10 held June 7-11, 2010 in Seattle, WA.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Issues in benchmarking human reliability analysis methods : a literature review.
Issues in Benchmarking Human Reliability Analysis Methods: A Literature Review