Off-Line Quality Control, Parameter Design, and the Taguchi Method

1985 ◽  
Vol 17 (4) ◽  
pp. 176-188 ◽  
Author(s):  
Raghu N. Kackar
Keyword(s):  
Quality Control ◽  
Taguchi Method ◽  
Control Parameter ◽  
Parameter Design

scholarly journals A Control Parameter Design Method for Hybrid Multi-Terminal HVDC System

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 18669-18680 ◽  
Author(s):  
Bingkun Li ◽  
Yuansheng Liang ◽  
Gang Wang ◽  
Haifeng Li ◽  
Xinquan Chen
Keyword(s):  
Control Parameter ◽  
Design Method ◽  
Parameter Design ◽  
Hvdc System

scholarly journals Optimal Parameter Design for IC Wire Bonding Process by Using Fuzzy Logic and Taguchi Method

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 3034-3045 ◽  
Author(s):  
Jinn-Tsong Tsai ◽  
Cheng-Chung Chang ◽  
Wen-Ping Chen ◽  
Jyh-Horng Chou
Keyword(s):  
Fuzzy Logic ◽  
Taguchi Method ◽  
Optimal Parameter ◽  
Wire Bonding ◽  
Bonding Process ◽  
Parameter Design

Application of the Grey-Taguchi Method to the Optimization of Metal Injection Molding (MIM) Process

2010 ◽  
Vol 443 ◽  
pp. 63-68 ◽  
Author(s):  
Khairur Rijal Jamaludin ◽  
Norhamidi Muhamad ◽  
Mohd Nizam Ab. Rahman ◽  
Sufizar Ahmad ◽  
Mohd Halim Irwan Ibrahim ◽  
...  
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Mold Temperature ◽  
Parameter Design ◽  
Metal Injection Molding ◽  
Quality Performance ◽  
Surface Appearance ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Grey Taguchi

The Grey-Taguchi method was adopted in this study to optimize the injection molding parameters for the MIM green compacts with multiple quality performance. A Grey relational grade obtained from the Grey relational analysis is used as the quality performance in the Taguchi method. Then, the optimum injection molding parameters are determined using the parameter design proposed by the Taguchi method. The result concluded that the mold temperature (D) is very significant, by the fact that the ANOVA shows its contribution to excellent surface appearance as well as strong and dense green compacts is 38.82%.

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