• DocumentCode
    3408002
  • Title

    Using the third order exponential smoothing forecasts on reducing the bullwhip effect and inventory costs in supply chain

  • Author

    Wang, Chuanxu

  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1612
  • Lastpage
    1617
  • Abstract
    First, in the paper the bullwhip effect, average inventory level and expected holding and shortage costs at retailer in a two-stage supply chain are quantified when different exponential smoothing forecasting is used. Through a comparison study it is shown that in a supply chain with positively correlated demand, the order variance, inventory level and expected inventory costs based on the third order exponential smoothing forecast is smaller than those based on the second order exponential smoothing forecast, and the order variance, inventory level and expected inventory costs based on double exponential smoothing forecast is smaller than those based on simple exponential smoothing forecast. It is also indicated that for large values of lead time, the third order exponential smoothing forecast can significantly decrease the average inventory and expect inventory costs at the retailer. When the lead time is small, however, the reductions in average inventory and expected inventory costs are limited.
  • Keywords
    exponential distribution; inventory management; smoothing methods; supply chain management; bullwhip effect; expected inventory costs; inventory level; order variance; supply chain; third order exponential smoothing forecast; Costs; Demand forecasting; Economic forecasting; Information technology; Intelligent systems; Lead time reduction; Performance analysis; Predictive models; Smoothing methods; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408172
  • Filename
    5408172