Abstract—Improving the quality of products is one of significant research issues in many industrial situations. In order to address these issues, many researchers and practitioners have considered that robust design (RD) is one of the most effective methodologies to find the optimal factor settings on many chemical formulation problems. To these problems, a robust optimization method for a number of multiple responses is often required. The primary objective of this paper is to investigate existing multi-objective RD methods and to conduct their associated comparative study. In addition, a fitted function for each response is obtained by using response surface methodology (RSM). In order to perform a comparative study in terms of optimization aspects, a number of existing multi-objective optimization models and criteria are utilized. Final, a chemical chase study is performed for verification purposes.
Index Terms—Robust design, comparative study, multi objective optimization, Response Surface Methodology (RSM).
V. T. Nha, S. Shin, W-S Jeong, and C-S Kim are with the Inje University, Gimhae, 621-749, South Korea (e-mail: firstname.lastname@example.org; email@example.com; firstname.lastname@example.org; email@example.com).
H-i Kim is with the Department of Industrial Health, Catholic University of Pusan, Busan 609-757, Korea (e-mail: firstname.lastname@example.org).
S. H. Jeong is with the College of Pharmacy, Dongguk University, Goyang, Gyeonggi 410-820, South Korea (e-mail: email@example.com).
Cite: Vo Thanh Nha, Sangmun Shin, Woo-Sik Jeong, Chul-Soo Kim, Hwa-il Kim, and Seong Hoon Jeong, "Comparative Study on Robust Design Optimization Models for Multiple Chemical Responses," International Journal of Innovation, Management and Technology vol. 3, no. 4, pp. 402 -406 , 2012.