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Improving Robust Design with Preference Aggregation Methods
Technical Paper
2004-01-1140
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Robust design is a methodology for improving the quality of a product or process by minimizing the effect of variations in the inputs without eliminating the causes of those variations. In robust design, the putative best design is obtained by solving a multi-criteria optimization problem, trading off the nominal performance against the minimization of the variation of the performance measure. Because some existing methods combine the two criteria with a weighted sum or another fixed aggregation strategy, which are known to miss Pareto points, they may fail to obtain a desired design. To overcome this inadequacy, a more comprehensive preference aggregation method is implemented here into robust design. Three examples -- one simple mathematical example, one multi-criteria structure design example, and one automotive example -- are presented to illustrate the effectiveness of the proposed method.
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Citation
Dai, Z., Scott, M., and Mourelatos, Z., "Improving Robust Design with Preference Aggregation Methods," SAE Technical Paper 2004-01-1140, 2004, https://doi.org/10.4271/2004-01-1140.Also In
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