IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-11976-2_5.html
   My bibliography  Save this book chapter

Seasonal Forecasts

In: Demand Forecasting for Inventory Control

Author

Listed:
  • Nick T. Thomopoulos

    (Illinois Institute of Technology)

Abstract

Seasonal forecasts Seasonal forecasts Forecasts are needed when the demands over a year have a cyclical flow Cyclical flow such as the rise for light clothing during the summers; heavy clothing during the winters, school supplies in late summers; antifreeze during the winters; golf balls in the summers; cold tablets in the winters; and sunglasses in the summers. Two forecast model Forecast model s are described: the seasonal smoothing Smoothing multiplicative Multiplicative forecast model, and the seasonal smoothing additive Additive forecast model. Perhaps the most common application of the model is when the demands are monthly covering 12 months in a year. The seasonal multiplicative model Seasonal multiplicative model is described fully with example data. The model has two stages: first is to initialize the forecasts using the most current N history demands, and second is to revise the forecasts as each new monthly demand becomes available.

Suggested Citation

  • Nick T. Thomopoulos, 2015. "Seasonal Forecasts," Springer Books, in: Demand Forecasting for Inventory Control, edition 127, chapter 5, pages 59-69, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-11976-2_5
    DOI: 10.1007/978-3-319-11976-2_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-11976-2_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.