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    Automated Productivity-Based Schedule Animation: Simulation-Based Approach to Time-Cost Trade-Off Analysis

    Source: Journal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 004
    Author:
    Gokhan Gelisen
    ,
    F. H. (Bud) Griffis
    DOI: 10.1061/(ASCE)CO.1943-7862.0000674
    Publisher: American Society of Civil Engineers
    Abstract: Many studies of construction labor productivity are at a macro level. These macrolevel studies attempt to quantify the productivity or changes in productivity over the entire industry or a segment of the industry. This study is aimed at a micro or project level examination of productivity. The tool developed allows a company to predict, manage, and even optimize the productivity associated with a project or levels of projects. Automated productivity-based schedule animation (APBSA) is a dynamic scheduling methodology that stochastically utilizes weekly trended construction labor productivity data in order to automatically update the baseline schedule that was created at the beginning of the project by the construction manager. APBSA reports the construction activity duration variances and animates the progress of the job with most current data available in a four-dimensional (4D) environment. Contractors can improve their planning by utilizing APBSA with building information modeling (BIM) which will help them to improve their craft productivity. As a case study, a three-story Systems Engineering Facility III of Hanscom Air Force Base (AFB) was modeled. The model was developed in order to demonstrate the impacts of time and cost-based stochastic productivity indices on the baseline schedule. A time-cost trade-off analysis was also performed in order to show effects of duration variations on the cost of the project.
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      Automated Productivity-Based Schedule Animation: Simulation-Based Approach to Time-Cost Trade-Off Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/71387
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    contributor authorGokhan Gelisen
    contributor authorF. H. (Bud) Griffis
    date accessioned2017-05-08T22:06:09Z
    date available2017-05-08T22:06:09Z
    date copyrightApril 2014
    date issued2014
    identifier other28112872.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/71387
    description abstractMany studies of construction labor productivity are at a macro level. These macrolevel studies attempt to quantify the productivity or changes in productivity over the entire industry or a segment of the industry. This study is aimed at a micro or project level examination of productivity. The tool developed allows a company to predict, manage, and even optimize the productivity associated with a project or levels of projects. Automated productivity-based schedule animation (APBSA) is a dynamic scheduling methodology that stochastically utilizes weekly trended construction labor productivity data in order to automatically update the baseline schedule that was created at the beginning of the project by the construction manager. APBSA reports the construction activity duration variances and animates the progress of the job with most current data available in a four-dimensional (4D) environment. Contractors can improve their planning by utilizing APBSA with building information modeling (BIM) which will help them to improve their craft productivity. As a case study, a three-story Systems Engineering Facility III of Hanscom Air Force Base (AFB) was modeled. The model was developed in order to demonstrate the impacts of time and cost-based stochastic productivity indices on the baseline schedule. A time-cost trade-off analysis was also performed in order to show effects of duration variations on the cost of the project.
    publisherAmerican Society of Civil Engineers
    titleAutomated Productivity-Based Schedule Animation: Simulation-Based Approach to Time-Cost Trade-Off Analysis
    typeJournal Paper
    journal volume140
    journal issue4
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000674
    treeJournal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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