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Methods and Applications of Dual Response Surface Optimization : A Literature Review

쌍대반응표면최적화의 방법론 및 응용 : A Literature Review

  • Lee, Dong-Hee (S.LSI Business, Samsung Electronics) ;
  • Jeong, In-Jun (Department of Business Administration, Daegu University) ;
  • Kim, Kwang-Jae (Department of Industrial and Management Engineering, Pohang University of Science and Technology)
  • 이동희 (삼성전자 S.LSI 사업부 품질팀) ;
  • 정인준 (대구대학교 경영학과) ;
  • 김광재 (포항공과대학교 산업경영공학과)
  • Received : 2013.07.27
  • Accepted : 2013.09.02
  • Published : 2013.10.15

Abstract

Dual response surface optimization (DRSO), inspired by Taguchi's philosophy, attempts to optimize the process mean and variability by using response surface methodology. Researches on DRSO were extensively done in 1990's and have been matured recently. This paper reviews the existing DRSO methods from the decision making perspective. More specifically, this paper classifies the existing DRSO methods based on the optimization criterion and the timing of preference articulation. Also, some of case studies are reviewed. Extension to multiresponse optimization, triple response surface optimization, and application of data mining method are suggested as future research issues.

Keywords

References

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