• DocumentCode
    2796601
  • Title

    Application of decision support metrics for effective risk-informed asset management

  • Author

    Liming, James K.

  • Author_Institution
    ABS Consulting, Irvine, CA, USA
  • fYear
    2004
  • fDate
    26-29 Jan. 2004
  • Firstpage
    615
  • Lastpage
    620
  • Abstract
    Application of the risk-informed asset management (RIAM) method and associated decision support metrics described herein provides rigorous, systematic, prudent decision-making support for proposed changes to plant equipment and associated operation and maintenance practices and policies at commercial nuclear power plants. A concept for preparing and implementing RIAM programs for power stations and generating companies has been presented herein. The primary figures-of-merit for change are profitability and safety whereby profitability is optimized within the constraints defined by recommended safety limits. The RIAM process presented uses a three-tier screening concept in conjunction with a plant availability model and safety model (event frequency modeling) to help efficiently and accurately identify profitable changes and to quantify impacts on safety. Because plant (or fleet) change decisions are generally associated with a high degree of uncertainty. The RIAM method presented includes uncertainty quantification to aid decision-makers in making decisions for favorable outcomes.
  • Keywords
    cost-benefit analysis; decision making; maintenance engineering; nuclear power stations; risk management; decision support metrics; event frequency modeling; figures-of-merit; maintenance practices; nuclear power plants; plant availability model; plant change decisions; plant equipment; risk-informed asset management; safety model; three-tier screening concept; Asset management; Decision making; Frequency; Optimization methods; Power generation; Profitability; Reliability engineering; Risk management; Safety; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability, 2004 Annual Symposium - RAMS
  • Print_ISBN
    0-7803-8215-3
  • Type

    conf

  • DOI
    10.1109/RAMS.2004.1285515
  • Filename
    1285515