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
Robust Design (RD) is a cost-effective methodology to determine the optimal settings of control factors that make a product performance insensitive to the influence of noise factors. To better facilitate the robust design optimization, a dual response surface approach, which models both the process mean and standard deviation as separate response surfaces, has been successfully accepted by researchers and practitioners. However, the construction of response surface approximations has been limited to problems with only a few variables, mainly due to an excessive number of experimental runs necessary to fit sufficiently accurate models. In this regard, an innovative response surface approach has been proposed to investigate robust design optimization problems with larger number of variables. Response surfaces for process mean and standard deviation are partitioned and estimated based on the multi-level approximation method, which may reduce the number of experimental runs necessary for fitting response surface models to a great extent. The applicability and usefulness of proposed approach have been demonstrated through an illustrative example.
목차
Abstract
1. Introduction
2. Multi-Level Response Surface Approximation
3. Large-Scale Robust Design Optimization
4. An Illustrative Example：Analysis
5. Concluding Remarks
References
참고문헌 (7)
참고문헌 신청
Box , 1985189-190 , Discussion of ‘Off-Line Quality Control and the Taguchi Method’ by R Journal of Quality Technology
Koch, P.N , 1998 , Multi-Level Partitioned Response Surfaces for Modeling Complex Systems : 1 ~ 15
Myers , 1973 , Response Surface Techniques for Dual Response Systems tech (metrics) : 301 ~ 317
Perry, L.A , 2001 , Partition Experimental Designs for Sequential Processes：Part I-First-order Models 17 : 429 ~ 438
Perry, L.A , 2002 , Experimental Designs for Sequential Processes：Part II-Second- order Models 18 : 372 ~ 382
Koch, P.N , 1998 , Multi-Level Partitioned Response Surfaces for Modeling Complex Systems : 1 ~ 15
Myers , 1973 , Response Surface Techniques for Dual Response Systems tech (metrics) : 301 ~ 317
Perry, L.A , 2001 , Partition Experimental Designs for Sequential Processes：Part I-First-order Models 17 : 429 ~ 438
Perry, L.A , 2002 , Experimental Designs for Sequential Processes：Part II-Second- order Models 18 : 372 ~ 382
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UCI(KEPA) : I410-ECN-0101-2009-325-016110455