Abstract
In order to occupy the market sharing and survive in the intensely competitive market, the semiconductor industries must take advantage of enterprise globalization and make good use of capacity. For attaining time efficiency and cost-effectiveness, the global logistics has become a trend and the essential configuration rule for the semiconductor industries.In the viewpoint of semiconductor manufacturing, capacity allocation is decided by the factors listed as follows: (1)complicated product mix; (2)technology competence of factories; (3)capacity available of factories ; (4)due-date of orders; (5)production cost of factories; (6)production cycle time; (7)profitability etc.This thesis focuses on the problem of transnational multi-plant production strategy and capacity allocation. Before the process of solving, compile all orders to a bill of requirements through order management system. Then consider the factors mentioned above to divide the problem into three phases to find the solutions. The first phase is to separate all kinds of products in the bill into several groups with manufacturing process similarity by a heuristic algorithm which based on the conception of setup cost and time minimization. The second phase is to assign the groups to the factories by a mixed integer programming model which based on the conception of production cost minimization. In order to achieve four different objectives with the constraints of capacity and due date, the third phase constructs corresponding mathematical programming models to set up production plan in the viewpoint of single factory.We can consider four different objectives simultaneously by goal programming with corresponding weights or can compare different models by cross analysis.