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    State of Journal of Mechanical Design: A Five-Year Report (2013–2017) 

    Source: Journal of Mechanical Design:;2017:;volume( 139 ):;issue: 012:;page 120201
    Author(s): Azarm; Shapour
    Publisher: The American Society of Mechanical Engineers (ASME)
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    On Engineering and Systems Design 

    Source: Journal of Mechanical Design:;2013:;volume( 135 ):;issue: 002:;page 20201
    Author(s): Shapour Azarm,
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The bill for creating the U.S. National Science Foundation (NSF) was signed into law by President Truman on May 10, 1950. Accordingly, the NSF is “to promote the progress of science; to advance the national health, ...
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    Acknowledging JMD's Associate and Guest Editors 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 004:;page 40201
    Author(s): Azarm, Shapour
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Once a paper is submitted to Journal of Mechanical Design (JMD), and after successfully passing an initial screening, it is assigned to one of our AEs, or GEs in the case of a special issue. Subsequently, an AE or GE takes ...
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    Evolution of JMD During the Early Years: 1978–1989 

    Source: Journal of Mechanical Design:;2013:;volume( 135 ):;issue: 004:;page 40201
    Author(s): Shapour, Azarm
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As we approach the 200th issue of the Journal in Jun. 2013, it would be timely to provide our readers with an overview of the evolution of the Journal of Mechanical Design (JMD). In this editorial, I focus on the early ...
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    In Memoriam: Dr. Clive L. Dym (1942–2016) 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 010:;page 100101
    Author(s): Azarm, Shapour
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Editors' Choice Paper Awards Process and Outcome 

    Source: Journal of Mechanical Design:;2017:;volume( 139 ):;issue: 008:;page 80201
    Author(s): Shapour, Azarm
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Bi-Objective Surrogate Feasibility Robust Design Optimization Utilizing Expected Non-Dominated Improvement With Relaxation 

    Source: Journal of Mechanical Design:;2022:;volume( 145 ):;issue: 003:;page 31703-1
    Author(s): Kania, Randall J.; Azarm, Shapour
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Engineering design optimization problems often have two competing objectives as well as uncertainty. For these problems, quite often there is interest in obtaining feasibly robust optimum solutions. Feasibly robust here ...
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    Two-Level Nonlinear Mixed Discrete-Continuous Optimization-Based Design: An Application to Printed Circuit Board Assemblies 

    Source: Journal of Electronic Packaging:;1992:;volume( 114 ):;issue: 004:;page 425
    Author(s): S. Praharaj; S. Azarm
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a new approach for optimization-based design of nonlinearly mixed discrete-continuous problems has been developed. The approach is based on a two-level decomposition strategy in ...
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    A Feasibility Robust Optimization Method Using Sensitivity Region Concept 

    Source: Journal of Mechanical Design:;2005:;volume( 127 ):;issue: 005:;page 858
    Author(s): S. Gunawan; S. Azarm
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We present a robust optimization method that ensures feasibility of an optimized design when there are uncontrollable variations in design parameters. This method is developed based on the notion ...
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    An Automated Procedure for Local Monotonicity Analysis 

    Source: Journal of Mechanical Design:;1984:;volume( 106 ):;issue: 001:;page 82
    Author(s): S. Azarm; P. Papalambros
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A strategy for selecting active constraints in a design optimization program is implemented computationally. The strategy uses local monotonicity information to iterate on the active set. A fully ...
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