• DocumentCode
    2878634
  • Title

    Demand Prediction of LRU Parts with Backorder for SRU

  • Author

    Guo Feng ; Liu Chen-yu ; Xu Feng-Lei ; Li Wei-Ling

  • Author_Institution
    Naval Aeronaut. Eng. Inst., Qingdao, China
  • Volume
    2
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    530
  • Lastpage
    532
  • Abstract
    For the problem that the demand of vari-indenture Recoverable Parts did not submit to the Poisson distribution, put forward the Negative binomial distribution to improve the forecasting accuracy. Used the fill rate to estimate the supply degree of Recoverable Parts, the restricted total security funds and the lowest fill rate as the constraint conditions, searching for the fill rate maximization as the objective function, established the demand forecasting model of Recoverable Parts, through the marginal analysis to solve it. The example proves that the model has good prediction effect.
  • Keywords
    binomial distribution; demand forecasting; maintenance engineering; optimisation; pricing; LRU parts; Poisson distribution; SRU backorder; constraint condition; demand forecasting model; demand prediction; fill rate maximization; forecasting accuracy; line-replaceable unit; marginal analysis; negative binomial distribution; objective function; restricted total security funds; shop-replaceable unit; supply degree estimation; vari-indenture recoverable parts; Aerospace electronics; Atmospheric modeling; Maintenance engineering; Optimization; Pipelines; Predictive models; demand prediction; Recoverable Parts; Negative binomial distribution; vari-indenture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.265
  • Filename
    6405978