• DocumentCode
    2470927
  • Title

    A study on maintenance resource demand analysis and the development of the decision system

  • Author

    Gu, Yubo ; Jia, Yunxian

  • Author_Institution
    Mech. Eng. Coll., Shijiazhuang, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Maintenance resource is the foundation and guarantee of the equipment maintenance tasks, which plays an important role on daily-time training and war-time repairing. It has important effects on the life cycle costs (LCC), but also the equipment operational readiness and recovery of the combat ability. It is a significant to determine the support resource with more scientific and reasonable methods. Thus, aiming at the maintenance requirement, this paper combines maintenance tasks allocation with support resource requirement, standardizes maintenance recourse requirement analysis flow from the point of the maintenances decision, studies the key techniques in the analysis flow, establish typical maintenance decision models and optimizes the support resource determining technique. At last, a computer-assisted analysis decision system is built up, which contributes to the optimal allocation of the maintenance resource.
  • Keywords
    computer aided analysis; life cycle costing; maintenance engineering; mechanical engineering computing; LCC; computer-assisted analysis decision system; daily-time training; decision system development; equipment maintenance tasks; equipment operational readiness; equipment operational recovery; life cycle costs; maintenance decision models; maintenance recourse requirement analysis flow; maintenance requirement; maintenance resource; maintenance resource demand analysis; maintenance tasks allocation; optimal allocation; support resource requirement; war-time repairing; analysis flow; maintenance resource; optimal allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    2166-563X
  • Print_ISBN
    978-1-4577-1909-7
  • Electronic_ISBN
    2166-563X
  • Type

    conf

  • DOI
    10.1109/PHM.2012.6228925
  • Filename
    6228925