Wozac Company is a drug manufacturer. Wozac has recently accepted an order from

its best customer for 8000 ounces of a new miracle drug, and Wozac wants to plan its

production schedule to meet the customer's promised delivery date of December 1. There

are three sources of uncertainty that make planning difficult. First, the drug must be produced in batches, and there is uncertainty in the time required to produce a batch, which

could be anywhere from 5 to 11 days. This uncertainty is described by the discrete distribution in the model.

Second, the yield (usable quantity) from any batch is uncertain. Based on historical data, Wozac believes the yield can be modeled by an average yield of 900 with a standard deviation of 75.

Third, all batches must go through a rigorous inspection once they are completed.

The probability that a typical batch passes inspection is only 0.8. With probability 0.2, the batch fails inspection, and none of it can be used to help fill the order. Wozac wants to use simulation to help decide how many days prior to the due date it should begin production.

To use simulation to determine when Wozac should begin production for this order so that there is a high probability of completing it by the due date.