|
The numbers of semiconductor manufacturing factories become more and more in recent years. This situation makes the supply of products be more than the demand, and causes the market competition to be heavy. Because of the difficulty of accurate order forecasting and the need of customer service improving, the management an dplanning of rush orders becomes important. The goal of this thesis is to construct a model of rush order classification, for deciding the proper rush ordrs'' proportion and the number of priority levels existed int he system. This information is useful for managers to decide whether or not to accept the rush orders.
This research has two parts. First, use the simulation to find out all the factors that have effects on the system performance because of the introducing or rush orders. Then the statistical analysis finds out that the cycle time and throughput amount of normal orders, the cycle time variation of normal and rush orders are significantly impacted by rush orders. These significantly impacted items are used as factors for measuring the rush order''s price an dfor deciding the acceptance of rush orders.
Second, use the probability distribution of cycle time to find out the delay orders and the corresponding delay days that are out of the system allowable tolerance. Then calculate the profit gained by accepting rush orders and the penalty incurred because of order delay. The system profits under different situations are compared so as to choose the proper rush orders'' proportion and priority numbers.
The result of this research provides much information of system performance about accepting rush orders. It is useful for managers and customers. The competitive advantage of the semiconductor factory thus is nhanced.
|