Establishing the optimal and efficient capacity re-allocation plans for enhancing the long-term competitiveness of a semiconductor product - A long-term trend viewpoint

Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticle

6 Scopus citations

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 based on its yield learning model from a new viewpoint - the trend in the mid-term competitiveness. Subsequently, to enhance the long-term competitiveness of a product, a non-linear programming approach is proposed to optimize the effects of capacity re-allocation. A practical example is used to demonstrate the proposed methodology. Experimental results show that with an additional capacity of 16 780 wafers per month, the long-term competitiveness of the product is maximized. Also, the most efficient way is to allocate 14 500 more wafers per month to the product. These results are helpful in making capacity re-allocation decisions.

Original languageEnglish
Pages (from-to)1295-1303
Number of pages9
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume224
Issue number8
DOIs
StatePublished - 1 Aug 2010

Keywords

  • capacity re-allocation
  • competitiveness
  • non-linear programming
  • semiconductor
  • yield

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