• DocumentCode
    2033844
  • Title

    An Influence Diagram for Maintenance Strategy Decision Making

  • Author

    Cai, Zhiqiang ; Sun, Shudong ; Si, Shubin ; Yannou, Bernard

  • Author_Institution
    Syst. Integration & Eng. Manage. Inst., Northwestern Polytech. Univ., Xi´´an
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Throughout these years, with the high demand for system safety, operational efficiency and life cycle cost control, decision support systems that balance among such requests for complex system maintenance were brought forward. This paper illustrated a newly developed influence diagram decision model which integrates current states, decision actions, decision objects and cost analysis to facilitate the maintenance strategy decision making. At first, the network structure of the influence diagram is proposed. Then the conditional probabilities and the utility values of each kind of costs were elaborated. At last, the procedure for implementing maintenance decision influence diagram model was demonstrated based on a case study. With the input of current states, this model could provide the recommendations and relevant supportive information for the purpose of cost budgeting. In order to verify the model´s reliability, costs from different decisions are listed for comparison.
  • Keywords
    cost accounting; decision support systems; life cycle costing; maintenance engineering; safety systems; complex system maintenance; cost analysis; cost budgeting; decision support systems; influence diagram decision model; life cycle cost control; maintenance strategy decision making; operational efficiency; system safety; Aerospace engineering; Air safety; Aircraft propulsion; Airplanes; Bayesian methods; Control systems; Costs; Decision making; Engineering management; Maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072721
  • Filename
    5072721