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    Prediction of Passive Maintenance Opportunity Windows on Bottleneck Machines in Complex Manufacturing Systems

    Source: Journal of Manufacturing Science and Engineering:;2015:;volume( 137 ):;issue: 003::page 31017
    Author:
    Gu, Xi
    ,
    Jin, Xiaoning
    ,
    Ni, Jun
    DOI: 10.1115/1.4029906
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, we investigate hidden opportunities for performing proper maintenance tasks during production time without causing production losses. One of the maintenance opportunities on a machine is when the machine is starved or blocked due to the occurrence of random failures on its upstream or downstream machines. Such failureinduced starvation or blockage time is defined as a passive maintenance opportunity window (PMOW), and is predicted on the bottleneck machines in manufacturing systems with different configurations. The effectiveness of the PMOW prediction algorithm is validated through case studies in both simulations and an automotive assembly plant.
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      Prediction of Passive Maintenance Opportunity Windows on Bottleneck Machines in Complex Manufacturing Systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/158684
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    contributor authorGu, Xi
    contributor authorJin, Xiaoning
    contributor authorNi, Jun
    date accessioned2017-05-09T01:20:22Z
    date available2017-05-09T01:20:22Z
    date issued2015
    identifier issn1087-1357
    identifier othermanu_137_03_031017.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/158684
    description abstractIn this paper, we investigate hidden opportunities for performing proper maintenance tasks during production time without causing production losses. One of the maintenance opportunities on a machine is when the machine is starved or blocked due to the occurrence of random failures on its upstream or downstream machines. Such failureinduced starvation or blockage time is defined as a passive maintenance opportunity window (PMOW), and is predicted on the bottleneck machines in manufacturing systems with different configurations. The effectiveness of the PMOW prediction algorithm is validated through case studies in both simulations and an automotive assembly plant.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePrediction of Passive Maintenance Opportunity Windows on Bottleneck Machines in Complex Manufacturing Systems
    typeJournal Paper
    journal volume137
    journal issue3
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4029906
    journal fristpage31017
    journal lastpage31017
    identifier eissn1528-8935
    treeJournal of Manufacturing Science and Engineering:;2015:;volume( 137 ):;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