Hey everyone,
Please see my previous thread for history on this question.
I am trying to create a model to forecast demand on any given day of the week based on the month of the year based on a given hour of the day.
The model shows how much expected demand for any given hour is and what the production needs to be to meet the demand. (this i have managed to do)
the problem i am having is that production is dependent on a few things:
1) we can only make 9 units at a time (i have factored this into the model)
2) the number of units can only stay good for 3 hours after which point the product is useless - i am having difficulty factoring this in
3) we need to minimize over production. - This is where i am having the most problems.because production is only in 9's the over/under production is highly variable and i was wondering if their is a way to either reduce the variability or try and ensure that overproduction is between 1 and 3% - i have included a data table that shows the high level of variability
4)demand must be met and cannot change
I have also attached the model I'm working on and any advice or suggestions you have would be much appreciated.
Cheers
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