There are a variety of experiments that can be performed with this model. Try changing some of the parameters in the model and look at the resulting changes in behavior. For example, you might decrease time to correct backlog, to look at the consequences of more aggressively managing your backlog. Changing time to adjust capacity will allow you to look at the consequences of being able to get capacity more quickly or less quickly.
A very interesting experiment is to change average product life to a very large number. Consider a plot of production versus capacity for the base run:
Now look at the same plot with a product that essentially never wears out:
There is a much bigger excess capacity. You will find that as you lengthen the life of the product, the amount of excess capacity increases. Conversely if you shorten the life of the product you can get the model to a point where there is no excess capacity. The difference between hamburgers and chain saws. This is a very simple idea, but one that eludes many people trying to manage a product in an emerging market.
