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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    Titel :

    Improving Robust Design with Preference Aggregation Methods


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE 2004 World Congress & Exhibition ; 2004



    Erscheinungsdatum :

    2004-03-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Improving robust design with preference aggregation methods

    Dai, Z. / Scott, M.J. / Mourelatos, Z.P. | Tema Archiv | 2004


    Improving Robust Design with Preference Aggregation Methods

    Dai, Z. / Scott, M. J. / Mourelatos, Z. P. et al. | British Library Conference Proceedings | 2004


    Improving Robust Design with Preference Aggregation Methods

    Dai, Z. / Scott, M. J. / Mourelatos, Z. P. et al. | British Library Conference Proceedings | 2004


    Improving robust design with preference aggregation methods

    Dai,Z. / Scott,M.J. / Mourelatos,Z.P. et al. | Kraftfahrwesen | 2004