• DocumentCode
    1636296
  • Title

    Integrated importance based maintenance decision making

  • Author

    Cai, Zhiqiang ; Sun, Shudong ; Si, Shubin ; Wang, Ning

  • Author_Institution
    Sch. of Mechantronics, Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper proposed an integrated importance based maintenance decision making method to provide reasonable maintenance schemes for decision makers. First, the concept of integrated importance measure (IIM) is introduced and its physical meaning and characteristics in maintenance are discussed. Then, a new maintenance decision making model (MDM) is put forward by extending the influence diagram. The nodes, edges and dependency intensities in it are described. The corresponding modeling and optimization methods based on IIM are also listed. Finally, based on a multi-state series system, a calculation example is applied to demonstrate the IIM based MDM modelling and optimization process. The MDM of example system proves that the proposed model and modelling method can represent related maintenance factors comprehensively. The optimization results of MDM shows that the proposed IIM based method can provide maintenance decision makers with reasonable maintenance schemes.
  • Keywords
    decision making; maintenance engineering; optimisation; IIM; MDM; decision makers; influence diagram; integrated importance based maintenance; integrated importance measure; maintenance decision making model; modelling method; multistate series system; optimization methods; reasonable maintenance schemes; Decision making; Equations; Maintenance engineering; Mathematical model; Optimization; Reliability; System performance; decision making; influence diagram; integrated importance; maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2012 Proceedings - Annual
  • Conference_Location
    Reno, NV
  • ISSN
    0149-144X
  • Print_ISBN
    978-1-4577-1849-6
  • Type

    conf

  • DOI
    10.1109/RAMS.2012.6175437
  • Filename
    6175437