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    Modeling Relative Importance of Design Criteria With a Modified Pareto Preference 

    Source: Journal of Mechanical Design:;2007:;volume( 129 ):;issue: 009:;page 907
    Author(s): Brian J. Hunt; Vincent Y. Blouin; Margaret M. Wiecek
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Engineering design problems are studied within a multicriteria optimization and decision-making framework. A methodology is developed that modifies the traditional Pareto preference to model designer’s ...
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    Infrastructure Damage-Cost-Recovery Fee for Overweight Trucks: Tradeoff Analysis Framework 

    Source: Journal of Transportation Engineering, Part A: Systems:;2015:;Volume ( 141 ):;issue: 007
    Author(s): Kakan Chandra Dey; Mashrur Chowdhury; Margaret M. Wiecek; Anne Dunning
    Publisher: American Society of Civil Engineers
    Abstract: The rapid growth of freight traffic is now taxing a significant number of the U.S. national freight corridors. Additional demand accompanied by trucks over legal weight limits has been accelerating pavement and bridge ...
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    Local Approximation of the Efficient Frontier in Robust Design 

    Source: Journal of Mechanical Design:;2000:;volume( 122 ):;issue: 002:;page 232
    Author(s): Jinhuan Zhang; Design Engineer; Margaret M. Wiecek; Wei Chen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of robust design is treated as a bi-objective optimization problem in which the performance mean and variation are optimized and minimized, respectively. A method for deriving a ...
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    Design Under Uncertainty: Balancing Expected Performance and Risk 

    Source: Journal of Mechanical Design:;2010:;volume( 132 ):;issue: 011:;page 111009
    Author(s): James A. Reneke; Georges M. Fadel; Sundeep Samson; Dimitri Nowak; Margaret M. Wiecek
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of quantifying uncertainty in the design process is approached indirectly. Nonquantifiable variability resulting from lack of knowledge is treated as epistemic uncertainty and quantifiable ...
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