A systematic procedure is established in this study to evaluate and enhance the long-term competitiveness of a semiconductor manufacturing factory. At first, after assessing the competitiveness of all its products at several check points, the long-term competitiveness of the semiconductor manufacturing factory can be derived. Subsequently, to further enhance the long-term competitiveness of the semiconductor manufacturing factory, a capacity re-allocation mechanism is designed to improve the competitiveness of less competitive products at the least expense of the other products that are highly competitive with dynamic capacity re-allocation. For this purpose, a fuzzy, nonlinear programming (FNP) model is constructed, which is then converted into an equivalent NP problem solved with existing optimization software. To evaluate the effectiveness of the proposed methodology, some data in a real semiconductor fabrication factory were collected. Experimental results revealed that the long-term competitiveness of the semiconductor fabrication factory could be evaluated by 2.4% if the factory capacity was re-allocated accordingly. Further, the established dynamic capacity re-allocation plan was shown to be very efficient.
|Number of pages||11|
|Journal||International Journal of Advanced Manufacturing Technology|
|State||Published - 1 Feb 2009|
- Capacity re-allocation
- Fuzzy nonlinear programming
- Long-term competitiveness
- Yield learning