The Method of Imprecision (MOI) is a multi-objective design method that maximizes the overall degree of both design and performance preferences. Sets of design variables are iteratively selected, and the corresponding performances are approximately computed. The designer’s judgment (expressed as preferences) are combined (aggregated) with the customer’s preferences, to determine the overall preference for sets of points in the design space. In addition to degrees of preference for values of the design and performance variables, engineering design problems also typically include uncertainties caused by uncontrolled variations, for example, measuring and fabrication limitations. This paper illustrates the computation of expected preference for cases where the uncertainties are uncorrelated, and also where the uncertainties are correlated. The result is a “best” set of design variable values for engineering problems, where the overall aggregated preference is maximized. As is illustrated by the examples shown here, where both preferences and uncontrolled variations are present, the presence of uncertainties can have an important effect on the choice of the overall best set of design variable values.
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ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 2–6, 2003
Chicago, Illinois, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-3701-7
PROCEEDINGS PAPER
Preferences and Correlated Uncertainties in Engineering Design
Tomonori Honda,
Tomonori Honda
California Institute of Technology, Pasadena, CA
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Erik K. Antonsson
Erik K. Antonsson
California Institute of Technology, Pasadena, CA
Search for other works by this author on:
Tomonori Honda
California Institute of Technology, Pasadena, CA
Erik K. Antonsson
California Institute of Technology, Pasadena, CA
Paper No:
DETC2003/DTM-48675, pp. 805-818; 14 pages
Published Online:
June 23, 2008
Citation
Honda, T, & Antonsson, EK. "Preferences and Correlated Uncertainties in Engineering Design." Proceedings of the ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3b: 15th International Conference on Design Theory and Methodology. Chicago, Illinois, USA. September 2–6, 2003. pp. 805-818. ASME. https://doi.org/10.1115/DETC2003/DTM-48675
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