Taguchi's parameter design: a panel discussion
Technometrics
Quality Engineering Using Robust Design
Quality Engineering Using Robust Design
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Robust Control via Sequential Semidefinite Programming
SIAM Journal on Control and Optimization
Design and Analysis of Experiments
Design and Analysis of Experiments
Designing robust structures - A nonlinear simulation based approach
Computers and Structures
A data mining approach to dynamic multiple responses in Taguchi experimental design
Expert Systems with Applications: An International Journal
Robust design of nonlinear multiple dynamic quality characteristics
Computers and Industrial Engineering
Robust optimum criteria for tuned mass dampers in fuzzy environments
Applied Soft Computing
Neuro-genetic approach to optimize parameter design of dynamic multiresponse experiments
Applied Soft Computing
Robustness analysis of a car windscreen using response surface techniques
Finite Elements in Analysis and Design
Crashworthiness design of vehicle by using multiobjective robust optimization
Structural and Multidisciplinary Optimization
Linking objective and subjective modeling in engineering design through arc-elastic dominance
Expert Systems with Applications: An International Journal
Robust design optimization with bivariate quality characteristics
Structural and Multidisciplinary Optimization
Structural and Multidisciplinary Optimization
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The objective of robust design is to optimise the mean and minimize the variability that results from uncertainty represented by noise factors. The various objective functions and analysis techniques used for the Taguchi based approaches and optimisation methods are reviewed. Most applications of robust design have been concerned with static performance in mechanical engineering and process systems, and applications in structural dynamics are rare. The robust design of a vibration absorber with mass and stiffness uncertainty in the main system is used to demonstrate the robust design approach in dynamics. The results show a significant improvement in performance compared with the conventional solution.