DocumentCode
2975922
Title
Integrating socio-technological factors analysis into nuclear power plant event report and safety evaluation: A systematic framework
Author
Zhai, Ziqing
Author_Institution
Dept. of Ind. Eng. & Manage., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2009
fDate
8-11 Dec. 2009
Firstpage
2468
Lastpage
2472
Abstract
Nuclear power plants (NPP) are complex socio-technological systems where safety is the supreme concern for all activities. While studies of past accidents reveal that technical, human and organizational factors are major contributors to violation of safety, a generically accepted paradigm for safety assessment is still unknown. Meanwhile, reporting safety-relevant event occurred in NPP operations has already become a common practice in many countries, which offers a good opportunity to enhance understanding on the mechanism that affects safety, as well as to improve data quality for further studies. Combining with recent progress in Probabilistic Safety Assessment (PSA), this paper provides a systematic framework to integrate socio-technological factors analysis into event report, in order to extract useful data from real cases, to conduct first-hand safety analysis and to in turn benefit further PSA studies, for the ultimate goal of improving safety in NPP daily operations.
Keywords
nuclear power stations; power system protection; safety systems; NPP operation; PSA studies; first-hand safety analysis; nuclear power plant event report; nuclear power plant safety evaluation; probabilistic safety assessment; socio-technological factors analysis; Accidents; Data mining; Databases; Energy management; Feedback; Hardware; Humans; Power generation; Power system management; Safety; PSA; complex social-technological systems; data quantification; event report; human factors; organizational factors; safety management;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-4869-2
Electronic_ISBN
978-1-4244-4870-8
Type
conf
DOI
10.1109/IEEM.2009.5373520
Filename
5373520
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