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Demand forecasting with four-parameter exponential smoothing

Listed author(s):
  • Ferbar Tratar, Liljana
  • Mojškerc, Blaž
  • Toman, Aleš
Registered author(s):

    Exponential smoothing methods are powerful tools for denoising time series, predicting future demand and decreasing inventory costs. In this paper we develop a smoothing and forecasting method that is intuitive, easy to implement, computationally stable, and can satisfactorily handle both, additive and multiplicative seasonality, even when time series contain several zero entries and large noise component.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0925527316301839
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    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 181 (2016)
    Issue (Month): PA ()
    Pages: 162-173

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    Handle: RePEc:eee:proeco:v:181:y:2016:i:pa:p:162-173
    DOI: 10.1016/j.ijpe.2016.08.004
    Contact details of provider: Web page: http://www.elsevier.com/locate/ijpe

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