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Modeling of Non-linear Relations among Different Design and Manufacturing Evaluation Measures for Multiobjective Optimal Concurrent DesignDepartment of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, Canada T2N 1N4
Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, Canada T2N 1N4, dxue{at}ucalgary.ca
Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, Canada T2N 1N4 This research introduces a new approach to model the non-linear relations among different design and manufacturing evaluation measures for multiobjective optimal concurrent design. In this approach, different design and manufacturing evaluation measures are mapped to comparable evaluation indices. The non-linear relation between an evaluation measure and its evaluation index is identified based on the least-square curve-fitting method. The weighting factors for different design and manufacturing evaluation indices, representing the importance measures of these indices in the multiobjective design optimization, are achieved using the pair-wise comparison method. An example case study of automobile caliper disc brake design considering 3 design evaluation measures and 1 manufacturing evaluation measure is given to illustrate the effectiveness of the introduced approach.
Key Words: concurrent design design performance manufacturing cost multiobjective optimization least-square curve-fitting pair-wise comparison method
Concurrent Engineering, Vol. 14, No. 1,
43-53 (2006) |
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