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Socio-Technical Probabilistic Risk Assessment: Its Capabilities and Limitations

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Probabilistic Safety Assessment and Management

Abstract

Probabilistic risk assessment (PRA) is not new to the system designer. To the operational manager, however, PRA is virtually unknown. This paper explores the emerging process of socio-technical probabilistic risk assessment (ST-PRA) that is being used by operational managers to identify and mitigate operational risks within complex socio-technical systems such as aerospace and healthcare. What are the strengths of modeling socio-technical risks using fault trees, and what are the limitations of fault trees and the probability estimates inherent in probabilistic risk assessment?

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References

  1. Kanki, BG. Current Approaches to Assessing Risk in Maintenance and Inspection. In Proceedings of the 16th Symposium on Human Factors in Aviation Maintenance and Inspection. San Francisco, CA, 2002.

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Author information

Authors and Affiliations

  1. National Aeronautics and Space Administration (NASA) Ames Research Center, Moffett Field, California, USA

    Barbara G. Kanki

  2. Outcome Engineering, LLC., Frisco, Texas, USA

    David Marx & Misti J. Hale

Authors
  1. Barbara G. Kanki
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  2. David Marx
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  3. Misti J. Hale
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Editor information

Editors and Affiliations

  1. TÜV Süddeutschland, Dudenstrasse 28, D-68167, Mannheim, Germany

    Cornelia Spitzer Dipl.-Math.

  2. Swiss Federal Nuclear Safety Inspectorate (HSK), CH-5232, Villigen-HSK, Switzerland

    Ulrich Schmocker PhD

  3. Paul Scherrer Institut (PSI), CH-5232, Villigen PSI, Switzerland

    Vinh N. Dang PhD

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© 2004 Springer-Verlag London

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Cite this paper

Kanki, B.G., Marx, D., Hale, M.J. (2004). Socio-Technical Probabilistic Risk Assessment: Its Capabilities and Limitations. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_205

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_205

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

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