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Risk Importance Measures

In: Safety and Risk Modeling and Its Applications

Author

Listed:
  • Enrico Zio

    (Ecole Centrale Paris et Supelec
    Politecnico di Milano)

Abstract

Quantitative information about the role that the components of a system play with respect to its risk, safety, reliability and availability is of great practical aid to system designers and operators. Indeed, the identification of which components mostly contribute to the system failure behavior allows one to trace system design bottlenecks and provides guidelines for effective operation and maintenance actions for system performance improvement.

Suggested Citation

  • Enrico Zio, 2011. "Risk Importance Measures," Springer Series in Reliability Engineering, in: Hoang Pham (ed.), Safety and Risk Modeling and Its Applications, pages 151-196, Springer.
    • Handle: RePEc:spr:ssrchp:978-0-85729-470-8_6
    DOI: 10.1007/978-0-85729-470-8_6
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    Citations

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    Cited by:

    1. Toppila, Antti & Salo, Ahti, 2017. "Selection of risk reduction portfolios under interval-valued probabilities," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 69-78.
    2. Roger Flage & Terje Aven & Piero Baraldi & Enrico Zio, 2012. "An imprecision importance measure for uncertainty representations interpreted as lower and upper probabilities, with special emphasis on possibility theory," Journal of Risk and Reliability, , vol. 226(6), pages 656-665, December.
    3. Tosoni, E. & Salo, A. & Govaerts, J. & Zio, E., 2019. "Comprehensiveness of scenarios in the safety assessment of nuclear waste repositories," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 561-573.
    4. Johansson, Jonas & Hassel, Henrik & Zio, Enrico, 2013. "Reliability and vulnerability analyses of critical infrastructures: Comparing two approaches in the context of power systems," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 27-38.
    5. Tyrväinen, T., 2013. "Risk importance measures in the dynamic flowgraph methodology," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 35-50.

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