SEASONALITY. The company must have past data on past demands. This is time dependent data. By tracking the time line and the quantity demanded, one can construct demand forecast model according to season, i.e. for each season.

SAFETY INVENTORY. To prevent stock-out, the average minimum quantity demanded from the past seasons can be used to forecast safety stock quantity. Similar approach may be use for maximum quantity demand for each season to construct optimal demand forecast to prevent over-stocking.

PAST DATA. The key to this problem is the use of past data and separate the data by season, i.e. hi or lo season, etc.

See this link:

https://www.bing.com/search?q=%2bEOQ+with+intermitent++demand&filters=rcrse%3a%221%22&FORM=RCRE

Best, D. Booth

Dear Carlos A Castro-Zuluaga

besides the analysis of past data you can use either (or a combination of) minimum or PAR level inventory management or you can use the ABC prioritization method...

Certain products need more attention than others. Using an ABC analysis lets you prioritize your inventory management by separating out products that require a lot of attention from those that don’t. Do this by going through your product list and adding each product to one of three categories:

Items in category A require regular attention because their financial impact is significant but sales are unpredictable. Items in category C require less oversight because they have a smaller financial impact and they're constantly turning over. Items in category B fall somewhere in-between.

Regards