Abstract
At the hot season, customer’s order continuous raise, a company can’t satisfy all orders because of the lack of capacity. According to estimate overall environment, to avoid to loss orders, some solution may be to add capacity, outsourcing to meet customer’s requirement. When the low season comes, surplus capacity will be idle because no enough orders. Cause company increase cost gradually; if low season keeps one period, company will take some action such as layoffs but will be develop more social problems. According to the above problem, company has to establish an order evaluate decision model to help company do overall consideration at the hot reason.This research provides an order acceptance strategy model base on data envelopment analysis to achieve the optimal strategy. First we establish complete cause and effect of connect map by the four dimensions of the Balanced Scorecard; By way of the method we choose input and output by data envelopment analysis then establish weight for each performance index. Base on above evaluate index、weight and wait to evaluate order acceptance strategy,Using Data Envelopment Analysis method to find out the most efficient order acceptance strategy and execute sensitivity analysis. This case study of a semiconductor Foundry is conducted to verify the feasibility of proposed methodology .The results show that it can be used to find the most desirable order acceptance policy.