초기 설계단계에서의 셋 베이스 다목적 설계 최적화(제1보) : 이론 및 설계지원 시스템

Set-Based Multi-objective Design Optimization at the Early Phase of Design(The First Report) : Theory and Design Support System

  • 남윤의 (국립 한밭대학교 기계설계공학과)
  • Nahm, Yoon-Eui (Department of Mechanical Design Engineering, Hanbat National University)
  • 투고 : 2011.06.01
  • 심사 : 2011.06.24
  • 발행 : 2011.06.30

초록

The early phase of design intrinsically contains multiple sources of uncertainty in describing design, and nevertheless the decision-making process at this phase exerts a critical effect upon drawing a successful design. This paper proposes a set-based design approach for multi-objective design problem under uncertainty. The proposed design approach consists of four design processes including set representation, set propagation, set modification, and set narrowing. This approach enables the flexible and robust design while incorporating designer's preference structure. In contrast to existing optimization techniques, this approach generates a ranged set of design solutions that satisfy changing sets of performance requirements.

키워드

참고문헌

  1. Antonsson, E. K. and Otto, K. N.; "Imprecision in Engnieering Design," Transactions of the ASME Journal of Mechanical Design, 117(B) : 25-32, 1995. https://doi.org/10.1115/1.2836465
  2. Chen, W. and Yuan, C.; "A Probabilistic-Based Design Model for Achieving Flexibility in Design," Transactions of the ASME Journal of Mechanical Design, 121(1) : 77-83, 1999. https://doi.org/10.1115/1.2829433
  3. Finch, W. W. and Ward, A. C.; "A Set-Based System for Eliminating Infeasible Design in Engineering Problems Dominated by Uncertainty," Proceedings of 1997 ASME Design Engineering Technical Conference (DETC'97), DETC97/DTM-3886, Sacramento, CA, 1997.
  4. Finch, W. W. and Ward, A. C.; "Quantified Relations : A Class of Predicate Logic Design Constraints among Sets of Manufacturing, Operating and Other Variables," Proceedings of 1996 ASME Design Engineering Technical Conference(DETC'96), DETC96/DTM-1278, Irvine, CA, 1996.
  5. Scott, M. J. and Antonsson, E. K.; "Aggregation Functions for Engineering Tradeoffs," Fuzzy Sets and Systems, 99(3) : 253-264, 1998. https://doi.org/10.1016/S0165-0114(97)00032-8
  6. Sobek II, D. K., Ward, A. C., and Liker, J. K.; "Toyota's Principles of Set-Based Concurrent Engineering," Sloan Management Review, 40(2) : 67-83, 1999.
  7. Zimmermann, H. J.; "Fuzzy Set Theory and Its Applications," Kluwer Academic Publishers, 2001.
  8. Ward, A., Liker, J. K., Cristiano, J. J., and Sobek II, D. K.; "The Second Toyota Paradox : How Delaying Decisions Can Make Better Cars Faster," Sloan Management Review, 36(3) : 43-61, 1995.
  9. Kusiak, A. and Wang, J.; "Dependency Analysis in Constraint Negotiation," IEEE Transactions on System, Man, and Cybernetics, 25(9) : 1301-1313, 1995. https://doi.org/10.1109/21.400508
  10. Luoh, L. and Wang, W. J.; "A Modified Entropy Measure for General Fuzzy Sets," International Journal of Fuzzy Systems, 2(4) : 300-304, 2000.
  11. Wallace, D. R., Jakiela, M. J., and Flower, W. C.; "Design Search under Probabilistic Specifications using Genetic Algorithms," Computer-Aided Design, 28(5) : 405-421, 1996. https://doi.org/10.1016/0010-4485(95)00059-3
  12. Wood, K. L. and Antonsson, E. K.; "Computations with Imprecise Parameters in Engineering Design" : Background and Theory, ASME Journal of Mechatronics, Transmissions, and Automation in Design, 111(4) : 616-625, 1989. https://doi.org/10.1115/1.3259045