A hybrid fuzzy and neural approach for evaluating the cost competitiveness of a semiconductor product. (25th January 2011)

• Record Type: Journal Article
• Authors: Chen, Toly
• Is Part Of: International journal of technology intelligence and planning. Volume 6:Number 4(2010)
• Page Start: 373
• Page End: 386
• Publication Date: 2011-01-25
• Subjects: semiconductors -- product costs -- competitiveness -- fuzzy approaches -- neural approaches -- hybrid approaches -- cost evaluation -- unit costs -- future costs -- estimated costs -- technology intelligence -- technology planning; Technological innovations -- Periodicals; Research, Industrial -- Periodicals; Knowledge management -- Periodicals; 658.403805
• Languages: English
• ISSNs: 1740-2832

Abstract

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.