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

  • Nguyen Khoa Viet Truong
  • , Shin Sangmun
  • , Vo Thanh Nha
  • , Woo Sik Jeong
  • , Hwa Il Kim
  • Inje University
  • Catholic University of Pusan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Engineering and Industries, ICEI 2011
Pages105-109
Number of pages5
StatePublished - 2011
Event2nd International Conference on Engineering and Industries, ICEI 2011 - Jeju Island, Korea, Republic of
Duration: 29 Nov 20111 Dec 2011

Publication series

NameProceedings - 2nd International Conference on Engineering and Industries, ICEI 2011

Conference

Conference2nd International Conference on Engineering and Industries, ICEI 2011
Country/TerritoryKorea, Republic of
CityJeju Island
Period29/11/111/12/11

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