Improving Robust Design with Preference Aggregation Methods Department of Mechanical and Industrial Engineering, University of Illinois at Chicago

Format:

Conference/Event

Author/Creator:

Dai, Zhihuang, author.

Conference Name:

SAE 2004 World Congress & Exhibition (2004-03-08 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2004

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2004-01-1140

Access Restriction:

Restricted for use by site license