| Summary: | 博士 === 國立交通大學 === 工業工程與管理系所 === 92 === Wafer fabrication factory is facing a very competitive market nowadays, and how to acquire a higher profit while maintaining production smoothness and utilizing current capacity effectively become a must. The purpose of this dissertation is to present effective approaches to find a set of product mix for the company to achieve a better performance. Data Envelopment Analysis (DEA) is first used to measure multiple inputs and outputs of product mixes in a semiconductor fabricator under the assumption that experts’ opinions on the importance of factors are not necessary; that is, the pre-assignment of weights to the factors is not required. An efficiency score for producing each product mix relative to other mixes can be obtained. Analytic hierarchy process (AHP) approache is next taken to analyze multiple performance factors, incorporating experts’ opinion on their priority of importance, to obtain suitable product mixes for semiconductor production. Analytic network process (ANP) approach is lastly adopted to consider the interrelationship among the factors. Simplified ANP is used to deal with simple interaction among factors while comprehensive ANP is suggested to solve complex interrelationship among factors in different levels.
The results obtained from the various approaches can provide guidance to a fabricator regarding strategies for accepting orders in the attempt of maximizing the manufacturing efficiency and the profit, while simultaneously considering other important input and output factors for maintaining manufacturing smoothness. The models can be easily understood and followed by administrators to determine an efficient product mix for a fab. Depending on the environment and managerial requirement about whether the weights of factors need to be considered and whether the interrelationship of factors should be concerned, different systematic procedures are provided here to let practitioners pick the most suitable model to adopt.
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