IDEAS home Printed from
   My bibliography  Save this article

Simulation approach in stock control of products with sporadic demand


  • Jakub Dyntar
  • Eva Kemrová
  • Ivan Gros


Croston's method and its modifications are the most commonly used methods in sporadic demand of product stock management systems. This method eliminates the drawbacks of classical exponential smoothing and secures sufficient stock levels during order lead time period. The disadvantage of Croston's method is the fact that it solves only the question of the reorder point but does not solve the problem of restocking delivery volume and the mechanism of ordering. The questions are how to refill stocks and what level of restocking deliveries to implement in order to secure economic efficiency while still maintaining demanded service levels. One of the promising ways of solving stated problems is to apply the dynamic simulation method. The aim of this article is to introduce sporadic demand product stock management method based on dynamic simulation, which would offer simple and easily interpretable answers on basic questions connected to effective stock management.

Suggested Citation

  • Jakub Dyntar & Eva Kemrová & Ivan Gros, 2010. "Simulation approach in stock control of products with sporadic demand," Ekonomika a Management, University of Economics, Prague, vol. 2010(3).
  • Handle: RePEc:prg:jnleam:v:2010:y:2010:i:3:id:107

    Download full text from publisher

    File URL:
    Download Restriction: free of charge

    File URL:
    Download Restriction: free of charge

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Peter R. Winters, 1960. "Forecasting Sales by Exponentially Weighted Moving Averages," Management Science, INFORMS, vol. 6(3), pages 324-342, April.
    2. Teunter, Ruud & Sani, Babangida, 2009. "On the bias of Croston's forecasting method," European Journal of Operational Research, Elsevier, vol. 194(1), pages 177-183, April.
    3. Gardner, Everette Jr. & Koehler, Anne B., 2005. "Comments on a patented bootstrapping method for forecasting intermittent demand," International Journal of Forecasting, Elsevier, vol. 21(3), pages 617-618.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Forecasting; Sporadic Demand; Inventory Management; Simulation;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods


    Access and download statistics


    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:prg:jnleam:v:2010:y:2010:i:3:id:107. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Frantisek Sokolovsky). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.