Title: A hybrid fuzzy and neural approach for evaluating the cost competitiveness of a semiconductor product
Author: Toly Chen
Address: Department of Industrial Engineering and Systems Management, Feng Chia University, 100, Wenhwa Rd., Seatwen, Taichung City 407, Taiwan
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.
Keywords: semiconductors; product costs; competitiveness; fuzzy approaches; neural approaches; hybrid approaches; cost evaluation; unit costs; future costs; estimated costs; technology intelligence; technology planning.
Int. J. of Technology Intelligence and Planning, 2010 Vol.6, No.4, pp.373 - 386
Available online: 24 Jan 2011