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    Evaluation of Idea Generation Methods for Conceptual Design: Effectiveness Metrics and Design of Experiments

    Source: Journal of Mechanical Design:;2000:;volume( 122 ):;issue: 004::page 377
    Author:
    Jami J. Shah
    ,
    Santosh V. Kulkarni
    ,
    Noe Vargas-Hernandez
    DOI: 10.1115/1.1315592
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A wide range of formal methods have been devised and used for idea generation in conceptual design. Experimental evidence is needed to support claims regarding the effectiveness of these methods in promoting idea generation in engineering design. Towards that goal this paper presents a set of effectiveness metrics experimental methods, data collection and analysis techniques. Statistically based Design of Experiments (DOE) principles were used in developing the guidelines. Four classes of operating variables were considered to characterize the design problem and the environment. The effectiveness metrics proposed are based on outcome and consists of the quantity, quality, novelty, and variety of ideas generated. Two experimental approaches have been developed. In the Direct Method, the influence of the type of design problem and various parameters related to the procedure of an idea generation method is measured by using the method in its entirety. In the Indirect Method, each idea generation method is decomposed into key components and its overall effectiveness is predicted by experimentally studying the effectiveness of its components and their mutual interactions. [S1050-0472(00)02004-3]
    keyword(s): Design , Experimental methods , Performance , Experimental design , Conceptual design , Data collection , Engineering design AND Creativity ,
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      Evaluation of Idea Generation Methods for Conceptual Design: Effectiveness Metrics and Design of Experiments

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    https://yetl.yabesh.ir/yetl1/handle/yetl/124040
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    • Journal of Mechanical Design

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    contributor authorJami J. Shah
    contributor authorSantosh V. Kulkarni
    contributor authorNoe Vargas-Hernandez
    date accessioned2017-05-09T00:02:59Z
    date available2017-05-09T00:02:59Z
    date copyrightDecember, 2000
    date issued2000
    identifier issn1050-0472
    identifier otherJMDEDB-27678#377_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124040
    description abstractA wide range of formal methods have been devised and used for idea generation in conceptual design. Experimental evidence is needed to support claims regarding the effectiveness of these methods in promoting idea generation in engineering design. Towards that goal this paper presents a set of effectiveness metrics experimental methods, data collection and analysis techniques. Statistically based Design of Experiments (DOE) principles were used in developing the guidelines. Four classes of operating variables were considered to characterize the design problem and the environment. The effectiveness metrics proposed are based on outcome and consists of the quantity, quality, novelty, and variety of ideas generated. Two experimental approaches have been developed. In the Direct Method, the influence of the type of design problem and various parameters related to the procedure of an idea generation method is measured by using the method in its entirety. In the Indirect Method, each idea generation method is decomposed into key components and its overall effectiveness is predicted by experimentally studying the effectiveness of its components and their mutual interactions. [S1050-0472(00)02004-3]
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEvaluation of Idea Generation Methods for Conceptual Design: Effectiveness Metrics and Design of Experiments
    typeJournal Paper
    journal volume122
    journal issue4
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.1315592
    journal fristpage377
    journal lastpage384
    identifier eissn1528-9001
    keywordsDesign
    keywordsExperimental methods
    keywordsPerformance
    keywordsExperimental design
    keywordsConceptual design
    keywordsData collection
    keywordsEngineering design AND Creativity
    treeJournal of Mechanical Design:;2000:;volume( 122 ):;issue: 004
    contenttypeFulltext
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