| Summary: | 碩士 === 國立臺灣大學 === 工業工程學研究所 === 92 === Capacity planning is an important tasks in the semiconductor manufacturing industry. Due to the tool purchase cost, firm’s profitability will be deeply eroded once making wrong capacity decision. The risk of capacity expansion is also exacerbated by long lead time of deployment. Together with short life time of product, rapid transition of technology, capacity planning task gets even more complicated.
Under the uncertain environment, demand variation becomes more and more enormous. In addition to the well-known total demand variation, product mix variation, coming from numerous product type and complicated process routing, has far more influence on capacity planning. Without considering product mix variation in scenario representation, the capacity planning can not conduct sound and well.
On the other hand, in order to enhance competitiveness in semiconductor supply chain, firms can’t judge the partners with regard of quality or cost any more. It should be conducted in view of overall risk reduction. This study propose and develop a performance evaluation procedure, firms can use it for screening out less performed partner.
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