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    Toward Knowledge Management for Smart Manufacturing

    Source: Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003::page 31016
    Author:
    Feng, Shaw C.
    ,
    Bernstein, William Z.
    ,
    Hedberg, , Jr., Thomas
    ,
    Barnard Feeney, Allison
    DOI: 10.1115/1.4037178
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing (SM). Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of SM. The case study in this paper provides some example knowledge objects to enable SM.
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      Toward Knowledge Management for Smart Manufacturing

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4236533
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    contributor authorFeng, Shaw C.
    contributor authorBernstein, William Z.
    contributor authorHedberg, , Jr., Thomas
    contributor authorBarnard Feeney, Allison
    date accessioned2017-11-25T07:20:33Z
    date available2017-11-25T07:20:33Z
    date copyright2017/24/7
    date issued2017
    identifier issn1530-9827
    identifier otherjcise_017_03_031016.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236533
    description abstractThe need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing (SM). Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of SM. The case study in this paper provides some example knowledge objects to enable SM.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleToward Knowledge Management for Smart Manufacturing
    typeJournal Paper
    journal volume17
    journal issue3
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4037178
    journal fristpage31016
    journal lastpage031016-9
    treeJournal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian