doi: 10.7763/IJIMT.2012.V3.263
Comparative Study on Robust Design Optimization Models for Multiple Chemical Responses
- 1Inje University, Gimhae, 621-749, South Korea.
- 2Department of Industrial Health, Catholic University of Pusan, Busan 609-757, Korea.
- 3College of Pharmacy, Dongguk University, Goyang, Gyeonggi 410-820, South Korea.
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.
Keywords
- Robust design
- comparative study
- multi objective optimization
- Response Surface Methodology (RSM)
How to 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. https://doi.org/10.7763/IJIMT.2012.V3.263
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).