| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 103 === Facing the sharp competitiveness in twenty-first century, the advanced technology and sophisticated manufacturing process are necessary for manufacturers to meet the consumer’s requirements. Developing innovative products, improving product quality and reducing production cost are effective ways to maintain market competitiveness. Therefore, finding the optimal factor-level combination in a multi-response process under the restricted experimental cost, experimental time and machine feasibility becomes a very important issue for manufacturers. Design of Experiments (DOE) is often applied in industry to determine the optimal parameter setting of a process. However, DOE can only be utilized to optimize single response. Although many studies have developed optimization procedures for multi-response problems, they still have some shortcoming. Therefore, the main purpose of this study is to develop a method of optimizing multiple responses simultaneously using Grey Relation Analysis (GRA), Entropy Weight Method and Dual Response Surface Methodology (DRSM). Finally, a real case from a semiconductor factory in Taiwan is utilized to verify the effectiveness of the proposed procedure.
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