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- Title
Evaluating and Enhancing the Long-Term Competitiveness of a Semiconductor Product through Fuzzy Yield Modeling.
- Authors
Yu-Cheng Lin; Chen, Toly
- Abstract
Yield is undoubtedly the most critical factor to the competitiveness of a product in a semiconductor manufacturing factory. Therefore, evaluating the competitiveness of a product with its yield is a reasonable idea. For this purpose, Chen's approach is extended in this study to evaluate the long-term competitiveness of a product through yield learning modeling in various ways. Subsequently, to enhance the long-term competitiveness of the product, capacity re-allocation is shown to be helpful. The effects are modeled, and the relationship between them is also discussed A practical example is used to demonstrate the proposed methodology. Experimental results show that with an additional capacity of 3000 wafers per month, the long-term competitiveness of the product can be elevated up to 25%. Further, the most efficient way is to allocate 15000 more wafers per month to the product.
- Subjects
SEMICONDUCTORS; SEMICONDUCTOR manufacturing; SEMICONDUCTOR industry; FUZZY sets; HOMOSCEDASTICITY; YIELD-line analysis; ASYMPTOTIC expansions; ELECTRIC conductivity; ELECTRICAL conductors
- Publication
International Review on Modelling & Simulations, 2009, Vol 2, Issue 5, p577
- ISSN
1974-9821
- Publication type
Article