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    Managing Complex Vehicle System Simulation Models for Automotive System Development

    Source: Journal of Computing and Information Science in Engineering:;2004:;volume( 004 ):;issue: 004::page 372
    Author:
    Mark Jennings
    ,
    ASME Mem.
    ,
    Ravi Rangan
    ,
    ASME Mem.
    DOI: 10.1115/1.1814384
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A Model Management System (MMS) for vehicle dynamic system modeling is described, including lessons learned from a pilot implementation at Ford Motor Company. For complex vehicle systems, early phases of product development (requirements analysis and high-level conceptual design) drive innovation, cost, quality, and timing. These phases have received little attention relative to product lifecycle management. Selected system model architectures are reviewed with elements of model configuration and application to hybrid electric vehicle development. The examples establish MMS requirements, leading to a reference information model promoting collaboration, reuse, and process autonomy.
    keyword(s): Simulation , Modeling , Vehicles AND Architecture ,
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      Managing Complex Vehicle System Simulation Models for Automotive System Development

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    http://yetl.yabesh.ir/yetl1/handle/yetl/129662
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    • Journal of Computing and Information Science in Engineering

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    contributor authorMark Jennings
    contributor authorASME Mem.
    contributor authorRavi Rangan
    contributor authorASME Mem.
    date accessioned2017-05-09T00:12:23Z
    date available2017-05-09T00:12:23Z
    date copyrightDecember, 2004
    date issued2004
    identifier issn1530-9827
    identifier otherJCISB6-25951#372_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/129662
    description abstractA Model Management System (MMS) for vehicle dynamic system modeling is described, including lessons learned from a pilot implementation at Ford Motor Company. For complex vehicle systems, early phases of product development (requirements analysis and high-level conceptual design) drive innovation, cost, quality, and timing. These phases have received little attention relative to product lifecycle management. Selected system model architectures are reviewed with elements of model configuration and application to hybrid electric vehicle development. The examples establish MMS requirements, leading to a reference information model promoting collaboration, reuse, and process autonomy.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleManaging Complex Vehicle System Simulation Models for Automotive System Development
    typeJournal Paper
    journal volume4
    journal issue4
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.1814384
    journal fristpage372
    journal lastpage378
    identifier eissn1530-9827
    keywordsSimulation
    keywordsModeling
    keywordsVehicles AND Architecture
    treeJournal of Computing and Information Science in Engineering:;2004:;volume( 004 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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