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    Sustainable Manufacturing With Cyber-Physical Discrete Manufacturing Networks: Overview and Modeling Framework

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 002::page 21013
    Author:
    Garcia, Daniel J.
    ,
    Mozaffar, Mojtaba
    ,
    Ren, Huaqing
    ,
    Correa, Jorge E.
    ,
    Ehmann, Kornel
    ,
    Cao, Jian
    ,
    You, Fengqi
    DOI: 10.1115/1.4041833
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Cyber-physical systems (CPS) enable unprecedented communication between product designers and manufacturers. Effective use of these technologies both enables and requires a new paradigm of methods and models to identify the most profitable and environmentally friendly production plans for a manufacturing network. The operating system for cyber-physical manufacturing (OSCM) and the paired network operations administration and monitoring (NOAM) software are introduced. These technologies guide our development of a mixed integer bilevel programming (BP) model that models the hierarchy between designers and manufacturers as a Stackelberg game while considering multiple objectives for each of them. Designers select and pay manufacturers, while manufacturers decide how to execute the order with the payment provided by the designer. To solve the model, a tailored solution method combining a decomposition-based approach with approximation of the lower level Pareto-optimal solution set is proposed. The model is applied to a case study based on a network of manufacturers in Wisconsin and Illinois. With the proposed model, designers and manufacturers alike can take full advantage of CPS to increase profits and decrease environmental impacts.
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      Sustainable Manufacturing With Cyber-Physical Discrete Manufacturing Networks: Overview and Modeling Framework

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4256718
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    contributor authorGarcia, Daniel J.
    contributor authorMozaffar, Mojtaba
    contributor authorRen, Huaqing
    contributor authorCorrea, Jorge E.
    contributor authorEhmann, Kornel
    contributor authorCao, Jian
    contributor authorYou, Fengqi
    date accessioned2019-03-17T11:08:34Z
    date available2019-03-17T11:08:34Z
    date copyright12/24/2018 12:00:00 AM
    date issued2019
    identifier issn1087-1357
    identifier othermanu_141_02_021013.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256718
    description abstractCyber-physical systems (CPS) enable unprecedented communication between product designers and manufacturers. Effective use of these technologies both enables and requires a new paradigm of methods and models to identify the most profitable and environmentally friendly production plans for a manufacturing network. The operating system for cyber-physical manufacturing (OSCM) and the paired network operations administration and monitoring (NOAM) software are introduced. These technologies guide our development of a mixed integer bilevel programming (BP) model that models the hierarchy between designers and manufacturers as a Stackelberg game while considering multiple objectives for each of them. Designers select and pay manufacturers, while manufacturers decide how to execute the order with the payment provided by the designer. To solve the model, a tailored solution method combining a decomposition-based approach with approximation of the lower level Pareto-optimal solution set is proposed. The model is applied to a case study based on a network of manufacturers in Wisconsin and Illinois. With the proposed model, designers and manufacturers alike can take full advantage of CPS to increase profits and decrease environmental impacts.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSustainable Manufacturing With Cyber-Physical Discrete Manufacturing Networks: Overview and Modeling Framework
    typeJournal Paper
    journal volume141
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4041833
    journal fristpage21013
    journal lastpage021013-17
    treeJournal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 002
    contenttypeFulltext
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