Robust design with dynamic characteristics using stochastic sequential quadratic programming

Engineering Optimization

Volumn 35, Issue 1, 2003, Pages 79-89

  Chen, Shih Pin ^a  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

Author keywords

Dynamic characteristics; Monte Carlo simulation; Robust design; Sequential quadratic programming

Indexed keywords

COMPUTER SIMULATION; PROBLEM SOLVING; QUADRATIC PROGRAMMING; ROBUSTNESS (CONTROL SYSTEMS); STOCHASTIC PROGRAMMING;

ROBUST DESIGNS;

PRODUCTION ENGINEERING;

EID: 0037294334     PISSN: 0305215X     EISSN: None     Source Type: Journal    
DOI: 10.1080/0305215031000069654     Document Type: Article

References (27)

1. Ashely, S. (1992). Applying Taguchi's quality engineering to technology development. Mechanical Engineering, 4, 58-60.
2. Bates, A. and Wynn, H. P. (1996). Tolerancing and optimization for model-based robust engineering design. Quality and Reliability Engineering International, 12, 119-127.
3. Box, G. E. P. (1988). Signal-to-noise ratios, performance criteria, and transformations. Technometrics, 30, 1-18.
4. Chen, A., Allen, J. K. and Mistree, F. (1996). System configuration: Concurrent subsystem embodiment and system synthesis. Journal of Mechanical Design, 118, 165-170.
5. Diwekar, U. M. and Rubin, E. S. (1994). Parameter design methodology for chemical processes using a simulator, Industrial and Engineering Chemical Research, 33, 292-298.
6. Fan, Y., Sarkar, S. and Lasdon, L. (1988). Experiments with successive quadratic programming algorithm. Journal of Optimization Theory and Applications, 56, 359-383.
7. Fletcher, R. (1987). Practical Methods for Optimization, 2nd ed. John Wiley and Sons, New York.
8. Kackar, R. N. (1985). Off-line quality control, parameter design, and the Taguchi method. Journal of Quality Technology, 17, 176-188.
9. Kao, C. and Chen, S. P. (1994). A sequential quadratic programming algorithm utilizing QR matrix factorization. Engineering Optimization, 22, 283-294.
10. Kao, C., Li, C. C. and Chen, S. P. (2000). Tolerance allocation via simulation embedded sequential quadratic programming. International Journal of Production Research, 38, 4345-4355.
11. Law, A. M. and Kelton, W. D. (1991). Simulation Modeling and Analysis, 2nd ed. McGraw-Hill, Singapore.
12. Lautenschlager, A., Erikstad. S. O., Allen, J. K. and Mistree, F. (1995). Experimental satellite trajectory analysis using decision-based robust design. Journal of Guidance, Control, and Dynamics. 18, 1126-1132.
13. Lee, A., Eom, I. S., Park, G. J. and Lee, W. I. (1996). Robust design for unconstrained optimization problems using the Taguchi method. AIAA Journal, 34, 1059-1063.
14. Lunani, M., Nair, V. N. and Wasserman, G. S. (1997). Graphical methods for robust design with dynamic characteristics. Journal of Quality Technology, 29, 327-338.
15. Nair, V. N. (1992). Taguchi's parameter design: A panel discussion. Technometrics, 34, 127-161.
16. O'Hara, A. and Bogy, D. B. (1995). Robust design optimization techniques for ultra-low flying sliders. IEEE Transactions on Magnetics, 31, 2955-2957.
17. Parkinson, A., Sorensen, C. and Pourhassan, N. (1993). A general approach for robust optimal design. Transactions of the ASME: Journal of Mechanical Design, 115, 74-80.
18. Phadke, M. S. (1989). Quality Engineering Using Robust Design. Prentice Hall, Englewood Cliffs, New Jersey.
19. Phadke, M. S. and Dehnad, K. (1988). Optimization of product and process design for quality and cost. Quality and Reliability Engineering International, 4, 105-112.
20. Reklaitis, G. V., Ravindran, A. and Ragsdell, K. M. (1983). Engineering Optimization: Methods and Applications. John Wiley and Sons, New York.
21. Ringuest, J. L. (1988). Substitute derivatives in unconstrained optimization: A comparison of finite difference and response surface approximation. Computers and Operations Research, 15. 314-352.
22. Sandgren, E. and Ragsdell, K. M. (1980). The utility of nonlinear programming algorithms: A comparative study-part 1 and 2. Transactions of the ASME: Journal of Mechanical Design, 102, 504-551.
23. Taguchi, G. (1986). Introduction to Quality Engineering: Designing Quality, into Products and Processes. Asian Productivity Organization, Tokyo.
24. Tong, A. and Su, C. T. (1996). Robust design for the nominal-the-best performance characteristic. International Journal of Industrial Engineering, 3, 183-193.
25. Tsui, A. (1992). An overview of the Taguchi method and newly developed statistical methods for robust design. IIE Transactions, 24, 44-57.
26. Unal, A., Stanley, D. O. and Joyner, C. R. (1993). Propulsion system design optimization using the Taguchi method. IEEE Transactions on Engineering Management, 40, 315-322.
27. Wasserman, G. S. (1996). Parameter design with dynamic characteristics: A regression perspective. Quality and Reliability Engineering International, 12, 113-117.