Optimization of Multiple Responses using Grey Relational Analysis and Dual Response Surface Methodology

• Main Authors: Lin, Lung-Chang, 林隆昌
• Other Authors: Tong, Lee-Ing
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/45427507732898826583

碩士 === 國立交通大學 === 工業工程與管理系所 === 101 === Design of Experiment and Taguchi Method are two major off-line quality control methods used by industry to find the optimal factor-level combination. However, these two methods can only optimize single response. In recent years, the required product quality becomes complex. The innovation, design, quality of a product and manufacturing process techniques are important criteria to measure the product value. Even though we want all quality characteristics to be perfect, it is hart to reach the goal owing to the limitation of resources. Thus, we need to develop a methodology to optimize multiple responses simultaneously. This study utilizes Grey Relational Analysis and Technique for Order Performance by Similarity to Ideal Solution(TOPSIS) to construct dual response surfaces for grey relational grade of ideal solution and negative ideal solution ,respectively, for every treatment of the designed experiments to find the optimal factor-level combination. A real case from a wafer manufacturing company in Science Park at Hsinchu, Taiwan is used to demonstrate the effectiveness of the proposed method.