지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Desirability approaches have been proposed to find an optimum of multiple response problem. The existing desirability approaches use either of mean or min of individual desirability in aggregation of multiple responses.
However, in order to find an optimum having high mean and low dispersion among individual desirability, the dispersion needs to be simultaneously considered with its mean. This study proposes bias and variance (BV) method which aggregates bias (ideal target-mean) and variance of individual desirability in multiple response optimization. The proposed BV method was applied to an example to evaluate its usefulness by comparing with existing methods. Evaluation results showed that the solution of BV method was a fairly good compared with DS (Derringer and Suich, 1980) and KL (Kim and Lin, 2000) methods. The BV method can be utilized to multiple response surface problems when decision makers want to find an optimum having high mean and low variance among responses.
However, in order to find an optimum having high mean and low dispersion among individual desirability, the dispersion needs to be simultaneously considered with its mean. This study proposes bias and variance (BV) method which aggregates bias (ideal target-mean) and variance of individual desirability in multiple response optimization. The proposed BV method was applied to an example to evaluate its usefulness by comparing with existing methods. Evaluation results showed that the solution of BV method was a fairly good compared with DS (Derringer and Suich, 1980) and KL (Kim and Lin, 2000) methods. The BV method can be utilized to multiple response surface problems when decision makers want to find an optimum having high mean and low variance among responses.
목차
1. 서론
2. 관련 연구
3. BV(Bias and Variance) 기법
4. 적용 사례 : Tire Tread Compound 연구
5. 토의 및 결론
참고문헌
참고문헌 (11)
참고문헌 신청
Boudaoud, N. / 2006 / The desirability function in a multiresponse optimization framework : A case study / Computational Engineering in Systems Applications :1267~1271
Derringer, G. / 1980 / Simultaneous optimization of several response variables / Journal of Quality Technology 12(4):214~219
Harrington, Jr. E. C. / 1965 / The desirability function / Industrial Quality Control 4:494~498
Khawas, A. / 2011 / A response surface method for design space exploration and optimization of analog circuits / IEEE Computer Society Annual Symposium on VLSI
김광재 / 200001 / Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions / JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS 49(3):311~325
Derringer, G. / 1980 / Simultaneous optimization of several response variables / Journal of Quality Technology 12(4):214~219
Harrington, Jr. E. C. / 1965 / The desirability function / Industrial Quality Control 4:494~498
Khawas, A. / 2011 / A response surface method for design space exploration and optimization of analog circuits / IEEE Computer Society Annual Symposium on VLSI
김광재 / 200001 / Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions / JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS 49(3):311~325
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UCI(KEPA) : I410-ECN-0101-2013-530-003629294