Product cost is undoubtedly the most critical factor to the competitiveness of a semiconductor product. Therefore, evaluating the competitiveness of a product with its unit cost is a reasonable idea. For this purpose, a hybrid fuzzy and neural approach is proposed in this study. First, a hybrid fuzzy and neural approach is applied to estimate the future unit cost of a semiconductor product. Subsequently, the cost competitiveness of the semiconductor product can be evaluated by comparing the estimated unit cost with the competitive region. A practical example is used to demonstrate the application of the proposed methodology.
|Number of pages||14|
|Journal||International Journal of Technology Intelligence and Planning|
|State||Published - 1 Dec 2010|