Simulation approach in stock control of products with sporadic demand
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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 2010 (2010)
Issue (Month): 3 ()
|Contact details of provider:|| Postal: nam. W. Churchilla 4, 130 67 Praha 3|
Phone: (02) 24 09 51 11
Fax: (02) 24 22 06 57
Web page: http://www.vse.cz/
More information through EDIRC
|Order Information:|| Postal: Redakce Ekonomika a management, Vysoká škola ekonomická v Praze, nám. W. Churchilla 4, 130 67 Praha 3|
Web: http://www.vse.cz/eam/ Email:
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Peter R. Winters, 1960. "Forecasting Sales by Exponentially Weighted Moving Averages," Management Science, INFORMS, vol. 6(3), pages 324-342, April.
- 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.
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)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.