Abstract
Manufacturing management is aimed at efficiently utilizing resources to produce products with best quality and lowest cost at maximum output, so that customers will have optimum satisfaction. Excellent manufacturing management is an important factor to guarantee a high quality, high yield and high profit product. In this dissertation, two major manufacturing systems and their hierarchy of performance indices are introduced. The methods of performance evaluation and decision analysis are discussed. Lots of performance indices are applied to evaluate the effectiveness of manufacturing management. Is this study, two cases are presented to study practice of manufacturing management. The first case is a performance evaluation system involved by four wafer fabs, through an understanding of strength and weakness of wafer manufacturing, the companies can increased their manufacturing management performance. Three decision analysis methods are used to evaluate their performance, they are AHP、Fuzzy AHP and Fuzzy MADA. In the second case, the manufacturing performance of seven notebook computer factories are evaluated. Finally, Mahalanobis-Taguchi System is proposed to reduce the number of performance indices of the AHP hierarchy in order to simplify the performance evaluation, and we are going to verify that the simplified version of AHP hierarchies will have the same performance evaluation capability as before, then the final discussion and research suggestion are presented.