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Key attributes of the SAPHIRE risk and reliability analysis software for risk-informed probabilistic applications

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  • Smith, Curtis
  • Knudsen, James
  • Kvarfordt, Kellie
  • Wood, Ted

Abstract

The Idaho National Laboratory is a primary developer of probabilistic risk and reliability analysis (PRRA) tools, dating back over 35 years. Evolving from mainframe-based software, the current state-of-the-practice has led to the creation of the SAPHIRE software. Currently, agencies such as the Nuclear Regulatory Commission, the National Aeronautics and Aerospace Agency, the Department of Energy, and the Department of Defense use version 7 of the SAPHIRE software for many of their risk-informed activities. In order to better understand and appreciate the power of software as part of risk-informed applications, we need to recall that our current analysis methods and solution methods have built upon pioneering work done 30–40 years ago. We contrast this work with the current capabilities in the SAPHIRE analysis package. As part of this discussion, we provide information for both the typical features and special analysis capabilities, which are available. We also present the application and results typically found with state-of-the-practice PRRA models. By providing both a high-level and detailed look at the SAPHIRE software, we give a snapshot in time for the current use of software tools in a risk-informed decision arena.

Suggested Citation

  • Smith, Curtis & Knudsen, James & Kvarfordt, Kellie & Wood, Ted, 2008. "Key attributes of the SAPHIRE risk and reliability analysis software for risk-informed probabilistic applications," Reliability Engineering and System Safety, Elsevier, vol. 93(8), pages 1151-1164.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:8:p:1151-1164
    DOI: 10.1016/j.ress.2007.08.005
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    Cited by:

    1. Borgonovo, E., 2010. "The reliability importance of components and prime implicants in coherent and non-coherent systems including total-order interactions," European Journal of Operational Research, Elsevier, vol. 204(3), pages 485-495, August.
    2. E. Borgonovo & C. L. Smith, 2011. "A Study of Interactions in the Risk Assessment of Complex Engineering Systems: An Application to Space PSA," Operations Research, INFORMS, vol. 59(6), pages 1461-1476, December.
    3. Borgonovo, E. & Smith, C.L., 2012. "Composite multilinearity, epistemic uncertainty and risk achievement worth," European Journal of Operational Research, Elsevier, vol. 222(2), pages 301-311.

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