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    Digital Twin-Driven Rapid Customized Design of Board-Type Furniture Production Line

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 003::page 031011-1
    Author:
    Yan, Douxi
    ,
    Liu, Qiang
    ,
    Leng, Jiewu
    ,
    Zhang, Ding
    ,
    Zhao, Rongli
    ,
    Zhang, Hao
    ,
    Wei, Lijun
    DOI: 10.1115/1.4050617
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The mass personalization paradigm requires manufacturing enterprises to adapt to market changes quickly to meet customer demands. It also imposes higher requirements for designing intelligent production lines. Based on the digital twin (DT) technology, a rapid customized design method is proposed for developing new board-type furniture production lines. The DT has the characteristics of interactive virtual-reality mapping and fusion. It could provide design guidance and decision-support services in the design phase, yield the engineering analyzing ability to solve coupled problems, and finally generate the authoritative design scheme of the manufacturing system. A production line design platform is developed based on the DT model, which can parallelize the design process and reduce the design cycle. The parallel control between the physical world and digital space is achieved by establishing the DT network and perceiving the status of the physical equipment. Five key enabling technologies are introduced to provide the theoretical fundamentals for implementing the DT-based manufacturing system design approach. A board-type furniture production line is presented as a case study to verify the effectiveness of the method.
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      Digital Twin-Driven Rapid Customized Design of Board-Type Furniture Production Line

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4277720
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    • Journal of Computing and Information Science in Engineering

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    contributor authorYan, Douxi
    contributor authorLiu, Qiang
    contributor authorLeng, Jiewu
    contributor authorZhang, Ding
    contributor authorZhao, Rongli
    contributor authorZhang, Hao
    contributor authorWei, Lijun
    date accessioned2022-02-05T22:32:20Z
    date available2022-02-05T22:32:20Z
    date copyright4/9/2021 12:00:00 AM
    date issued2021
    identifier issn1530-9827
    identifier otherjcise_21_3_031011.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277720
    description abstractThe mass personalization paradigm requires manufacturing enterprises to adapt to market changes quickly to meet customer demands. It also imposes higher requirements for designing intelligent production lines. Based on the digital twin (DT) technology, a rapid customized design method is proposed for developing new board-type furniture production lines. The DT has the characteristics of interactive virtual-reality mapping and fusion. It could provide design guidance and decision-support services in the design phase, yield the engineering analyzing ability to solve coupled problems, and finally generate the authoritative design scheme of the manufacturing system. A production line design platform is developed based on the DT model, which can parallelize the design process and reduce the design cycle. The parallel control between the physical world and digital space is achieved by establishing the DT network and perceiving the status of the physical equipment. Five key enabling technologies are introduced to provide the theoretical fundamentals for implementing the DT-based manufacturing system design approach. A board-type furniture production line is presented as a case study to verify the effectiveness of the method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDigital Twin-Driven Rapid Customized Design of Board-Type Furniture Production Line
    typeJournal Paper
    journal volume21
    journal issue3
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4050617
    journal fristpage031011-1
    journal lastpage031011-11
    page11
    treeJournal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 003
    contenttypeFulltext
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