• DocumentCode
    479696
  • Title

    Application of Grey Jump Model to forecast fluctuating inventory demand

  • Author

    Yu, Lin ; Fu, Shaochuan ; Wang, Yun ; Fan, Yuqing

  • Author_Institution
    Center for Infrastruct. Res., Beijing Jiaotong Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1209
  • Lastpage
    1214
  • Abstract
    This paper proposes a model that is grey jump model based on the central-approximant grey model and liner regression model. Because some products are characteristic of short life-cycle and large demand-fluctuation, it carries the forecast on jumping points with Central-approximant Grey Model and other non-jumping points with liner regression model. Finally, it puts these two parts together to forecast and testifies that the model has high precision as well as coordinates the practice well. So this paper provides an effective method for forecasting on the inventory demand which fluctuate sharply.
  • Keywords
    forecasting theory; grey systems; regression analysis; stock control; central-approximant grey jump model; inventory demand forecasting; liner regression model; Costs; Demand forecasting; Differential equations; Economic forecasting; Extrapolation; Fluctuations; Inventory control; Predictive models; Smoothing methods; Testing; grey jump model; inventory demand; jumping points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2012-4
  • Electronic_ISBN
    978-1-4244-2013-1
  • Type

    conf

  • DOI
    10.1109/SOLI.2008.4686583
  • Filename
    4686583