• DocumentCode
    1960124
  • Title

    Spares demand combined forecasting based on grey model and exponential smoothing

  • Author

    Guo Feng ; Zhou Bin ; Liu Chen-yu ; Wang Heng-xin

  • Author_Institution
    Naval Aeronaut. Eng. Inst., Qingdao, China
  • Volume
    2
  • fYear
    2012
  • fDate
    20-21 Oct. 2012
  • Firstpage
    300
  • Lastpage
    302
  • Abstract
    According to the problem that the application and order of Spares is not reasonable, propose to make the spares demand forecasting based on the combined forecasting method, comprehensively utilizing the grey model, linear exponential smoothing, secondary exponential smoothing and cubic exponential smoothing to optimize the results of these methods, solved it by the nonlinear programming method. The prediction results show that the model predicts accurately, with high utility and promotion.
  • Keywords
    defence industry; forecasting theory; grey systems; maintenance engineering; nonlinear programming; cubic exponential smoothing; grey model; linear exponential smoothing; nonlinear programming method; secondary exponential smoothing; spares demand combined forecasting method; Forecasting; Indexes; Predictive models; Smoothing methods; combined forecasting; exponential smoothing; grey model; spares demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-1932-4
  • Type

    conf

  • DOI
    10.1109/ICIII.2012.6339838
  • Filename
    6339838