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    Task Variation and the Social Network of Construction Trades

    Source: Journal of Management in Engineering:;2014:;Volume ( 030 ):;issue: 004
    Author:
    Brad W. Wambeke
    ,
    Min Liu
    ,
    Simon M. Hsiang
    DOI: 10.1061/(ASCE)ME.1943-5479.0000219
    Publisher: American Society of Civil Engineers
    Abstract: Construction projects can be complex and managers are faced with the challenge of managing multiple trades working on a large number of interdependent tasks. When one trade or task experiences variation, defined as the time difference between what was planned and what occurred for this research, additional trades or tasks can be impacted. This can result in a disrupted project schedule and reduced productivity. A case study involving a general contractor (GC) building a $50 million, 150,000 sq ft data collection center was conducted. Both starting time and task duration variation data was collected on approximately 1,200 tasks performed by over 40 trades. A risk assessment matrix was used to determine which causes of variation posed the greatest risk to project performance.
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      Task Variation and the Social Network of Construction Trades

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    contributor authorBrad W. Wambeke
    contributor authorMin Liu
    contributor authorSimon M. Hsiang
    date accessioned2017-05-08T21:54:51Z
    date available2017-05-08T21:54:51Z
    date copyrightJuly 2014
    date issued2014
    identifier other%28asce%29me%2E1943-5479%2E0000256.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/66276
    description abstractConstruction projects can be complex and managers are faced with the challenge of managing multiple trades working on a large number of interdependent tasks. When one trade or task experiences variation, defined as the time difference between what was planned and what occurred for this research, additional trades or tasks can be impacted. This can result in a disrupted project schedule and reduced productivity. A case study involving a general contractor (GC) building a $50 million, 150,000 sq ft data collection center was conducted. Both starting time and task duration variation data was collected on approximately 1,200 tasks performed by over 40 trades. A risk assessment matrix was used to determine which causes of variation posed the greatest risk to project performance.
    publisherAmerican Society of Civil Engineers
    titleTask Variation and the Social Network of Construction Trades
    typeJournal Paper
    journal volume30
    journal issue4
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000219
    treeJournal of Management in Engineering:;2014:;Volume ( 030 ):;issue: 004
    contenttypeFulltext
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