• DocumentCode
    2926035
  • Title

    Modeling maintenance-strategies with rainbow nets

  • Author

    Johnson, Allen M., Jr. ; Schoenfelder, Michael A. ; Lebold, David

  • Author_Institution
    RAS Group Inc., Austin, TX, USA
  • fYear
    1992
  • fDate
    21-23 Jan 1992
  • Firstpage
    449
  • Lastpage
    455
  • Abstract
    The Rainbow net (RN) modeling technique offers a promising alternative to traditional reliability modeling techniques. RNs are evaluated through discrete event simulation. Using specialized tokens to represent systems and faults, an RN models the fault-handling behavior of an inventory of systems produced over time. In addition, a portion of the RN represents system repair and the vendor´s spare part production. Various dependability parameters are measured and used to calculate the impact of four variations of maintenance strategies. Input variables are chosen to demonstrate the technique. The number of inputs allowed to vary is intentionally constrained to limit the volume of data presented and to avoid overloading the reader with complexity. If only availability data were reviewed, it is possible that the conclusion might be drawn that both strategies are about the same and therefore the cheaper strategy from the vendor´s perspective may be chosen. The richer set of metrics provided by the RN simulation gives greater insight into the problem, which leads to better decisions. By using RNs, the impact of several different variables is integrated
  • Keywords
    fault tolerant computing; maintenance engineering; availability data; discrete event simulation; fault-handling behavior; maintenance strategy modeling; rainbow nets; spare part production; system repair; Degradation; Discrete event simulation; Economic forecasting; Explosions; Input variables; Job shop scheduling; Maintenance; Manufacturing; Predictive models; Production systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium, 1992. Proceedings., Annual
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7803-0521-3
  • Type

    conf

  • DOI
    10.1109/ARMS.1992.187863
  • Filename
    187863