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    Location Optimization for a Group of Tower Cranes

    Source: Journal of Construction Engineering and Management:;1999:;Volume ( 125 ):;issue: 002
    Author:
    P. Zhang
    ,
    F. C. Harris
    ,
    P. O. Olomolaiye
    ,
    G. D. Holt
    DOI: 10.1061/(ASCE)0733-9364(1999)125:2(115)
    Publisher: American Society of Civil Engineers
    Abstract: A computerized model to optimize location of a group of tower cranes is presented. Location criteria are balanced workload, minimum likelihood of conflicts with each other, and high efficiency of operations. Three submodels are also presented. First, the initial location model classifies tasks into groups and identifies feasible location for each crane according to geometric “closeness.” Second, the former task groups are adjusted to yield smooth workloads and minimal conflicts. Finally, a single-tower-crane optimization model is applied crane by crane to search for optimal location in terms of minimal hook transportation time. Experimental results and the steps necessary for implementation of the model are discussed.
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      Location Optimization for a Group of Tower Cranes

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    http://yetl.yabesh.ir/yetl1/handle/yetl/85545
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    • Journal of Construction Engineering and Management

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    contributor authorP. Zhang
    contributor authorF. C. Harris
    contributor authorP. O. Olomolaiye
    contributor authorG. D. Holt
    date accessioned2017-05-08T22:39:47Z
    date available2017-05-08T22:39:47Z
    date copyrightMarch 1999
    date issued1999
    identifier other%28asce%290733-9364%281999%29125%3A2%28115%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/85545
    description abstractA computerized model to optimize location of a group of tower cranes is presented. Location criteria are balanced workload, minimum likelihood of conflicts with each other, and high efficiency of operations. Three submodels are also presented. First, the initial location model classifies tasks into groups and identifies feasible location for each crane according to geometric “closeness.” Second, the former task groups are adjusted to yield smooth workloads and minimal conflicts. Finally, a single-tower-crane optimization model is applied crane by crane to search for optimal location in terms of minimal hook transportation time. Experimental results and the steps necessary for implementation of the model are discussed.
    publisherAmerican Society of Civil Engineers
    titleLocation Optimization for a Group of Tower Cranes
    typeJournal Paper
    journal volume125
    journal issue2
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)0733-9364(1999)125:2(115)
    treeJournal of Construction Engineering and Management:;1999:;Volume ( 125 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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