A comparison between inverse problem and least square approaches on solving robust design problem by simulation

Author

Nguyen Khoa Viet Truong ; Shin Sangmun ; Vo Thanh Nha ; Woo-Sik Jeong ; Hwa-il Kim

Author_Institution

Dept. of Syst. Manage. & Eng., Inje Univ., Gimhae, South Korea

fYear

2011

fDate

Nov. 29 2011-Dec. 1 2011

Firstpage

1

Lastpage

5

Abstract

Inverse Problem (IP) has been played an essential role in development of modern science and engineering in last several decades. This study performs a comparison between Inverse Problem (IP) and ordinary least squares (OLS) based estimation methods applied on solving robust design (RD) problem by simulation. The results suggest that IP can be a potential alternative to OLS as an estimation tool when empirical models representing relationships between output quality characteristics and input control factors are built. Solution of IP approach can provide a better insight of RD problem, also.

Keywords

inverse problems; least squares approximations; product design; simulation; IP approach; OLS; RD problem; empirical models; input control factors; inverse problem; least square approach; ordinary least square based estimation methods; output quality characteristics; robust design problem; simulation; Analytical models; Data models; Estimation; IP networks; Mathematical model; Response surface methodology; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Industries (ICEI), 2011 International Conference on

Conference_Location

Jeju

Print_ISBN

978-1-4577-1999-8

Type

conf

Filename

6218537