Engineering approach for human error probability quantification

Journal of Systems Engineering and Electronics

Volumn 20, Issue 5, 2009, Pages 1144-1152

  Sun, Zhiqiang ^a   Xie, Hongwei ^a   Shi, Xiujian ^a   Liu, Fengqiang ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Human error; Human reliability assessment; Performance shaping factor; Probabilistic risk assessment; System safety

Indexed keywords

HUMAN ERRORS; HUMAN RELIABILITY; PERFORMANCE SHAPING FACTORS; PROBABILISTIC RISK ASSESSMENT; SYSTEM SAFETY;

ERRORS; QUALITY ASSURANCE; RELIABILITY ANALYSIS; RISK ASSESSMENT; SAFETY FACTOR;

PROBABILITY;

EID: 77956235181     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Kletz T. An engineer's view of human error. 3rd ed. Taylor & Francis, 2001.
2. Accident caused by human errors. http://www.chinadaily.net/cndy/2008-04/ 29/content.6650063.htm, 2008.
3. Isaac A, Shorrock S T, Kennedy R, et al. Technical review of human performance models and taxonomies of human error in ATM (HERA). EATMP Report, 2002.
4. Stamatelatos M. Probabilistic risk assessment procedures guide for NASA managers and procedures. NASA Report, 2002.
5. Spurgin A J, Lydell B O Y. Critique of current human reliability analysis methods. IEEE 7th Human Factors Meeting, 2002.
6. Xie HW, Sun Z Q, Li X X, et al. Overview of typical methods for human reliability analysis. Journal of National University of Defense Technology, 2007, 29(2): 101-107. (in Chinese)
7. Swain A D, Guttmann H E. Handbook of human reliability analysis with emphasis on nuclear power plant applications (NUREG/CR-1278). Washington, DC: US Nuclear Regulatory Commission, 1983.
8. Hollnagel E. Cognitive reliability and error analysis method (CREAM). Elsevier Science Ltd, 1998.
9. Williams J C. A data-based method for assessing and reducing human error to improve operational performance. IEEE 4th Human Factor and Power Plants, 1988: 436-453.
10. Dougherty E. Context and human reliability analysis. Reliability Analysis and System Safety, 1993, 41(1): 25-47.
11. Embrey D E. SLIM-MAUD: an approach to assessing human error probabilities using structured expert judgment (NUREG/CR-3518). Washington, DC: US Nuclear Regulatory Commission, 1984.
12. Hanaman G W, Spurgin A J, Lukic Y. Human cognitive reliability model for PRA analysis (NUS-4531). Draft EPRI Report, Electric Power Research Institute, 1984.
13. Gertman D I, Blackman H S. Human reliability and safety analysis data handbook. John Wiley & Sons, Inc., 1994,395-396.
14. Parry G W. Suggestions for an improved HRA method for use in probabilistic safety assessment. Reliability Engineering and System Safety, 1995, 49(1): 1-12.
15. Kim J W, Jung W. A taxonomy of performance influencing factors for human reliability analysis of emergence tasks. Journal of Loss Prevention in the Process Industries, 2003,16(1): 479-495.
16. Rasmussen J. Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. on Systems, Man, and Cybernetics,1983, 13(3): 257-266.
17. Gertman D I, Blackman H S, Haney L N, et al. INTENT: a method for estimating human error probabilities for decision-based errors. Reliability Engineering and System Safety, 1992, 35(2): 127-136.