Modelling the Long-Term Cost Competitiveness of a Semiconductor Product with a Fuzzy Approach

Authors:
Toly Chen
Affiliations:
Feng Chia University, Taiwan
Venue:
International Journal of Fuzzy System Applications
Year:
2011

Citing 2
Cited 2

Evaluating the mid-term competitiveness of a product in a semiconductor fabrication factory with a systematic procedure

Computers and Industrial Engineering
A fuzzy set approach for evaluating and enhancing the mid-term competitiveness of a semiconductor factory

Fuzzy Sets and Systems

A Fuzzy Multiple Regression Approach for Optimizing Multiple Responses in the Taguchi Method

International Journal of Fuzzy System Applications
FSSC: An Algorithm for Classifying Numerical Data Using Fuzzy Soft Set Theory

International Journal of Fuzzy System Applications

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Abstract

Unit cost is undoubtedly the most critical factor for the competitiveness of a product. Therefore, evaluating the competitiveness of a product according to its unit cost is a reasonable idea. The current practice assesses the competitiveness at a number of check points in the product life cycle, and then averages the results. This approach is computationally simple but theoretically doubtful. This study evaluates the long-term cost competitiveness of a semiconductor product based on its cost learning model from a new viewpoint-the trend in the mid-term competitiveness. Using a fuzzy value to express the long-term cost competitiveness, the flexibility in the interpretation and implementation of the evaluation result is increased. A practical example is used to illustrate the proposed methodology.