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    Statistical Analysis of the Effectiveness of Management Programs in Improving Construction Labor Productivity on Large Industrial Projects

    Source: Journal of Management in Engineering:;2016:;Volume ( 032 ):;issue: 001
    Author:
    Yongwei Shan
    ,
    Dong Zhai
    ,
    Paul M. Goodrum
    ,
    Carl T. Haas
    ,
    Carlos H. Caldas
    DOI: 10.1061/(ASCE)ME.1943-5479.0000375
    Publisher: American Society of Civil Engineers
    Abstract: The purpose of this research effort is to identify the effectiveness of a particular set of important management programs in improving construction labor productivity. These programs were previously defined through industry experts and research consensus as having significant impact on project cost, schedule, safety, scope, and quality performance, but their relationship to labor productivity was not known. Through statistical analyses of the database maintained by the Construction Industry Institute’s Benchmarking and Metrics Committee, headquartered in Austin, Texas, United States, the research presented in this article examined whether projects with high levels of implementation of programs related to front-end planning, materials management, automation and integration of information systems, team building, constructability, and safety, experienced better labor productivity among the mechanical, electrical, concrete, and structural steel trades compared to projects with low levels of implementation. The result showed that the majority of the investigated management programs were statistically significantly correlated to better construction labor productivity, and the significance was different among various craft trades. The paper’s major contribution to the overall body of knowledge is that it comprehensively quantifies the potential relationship of implementing project management programs to labor productivity on large industrial projects.
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      Statistical Analysis of the Effectiveness of Management Programs in Improving Construction Labor Productivity on Large Industrial Projects

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    contributor authorYongwei Shan
    contributor authorDong Zhai
    contributor authorPaul M. Goodrum
    contributor authorCarl T. Haas
    contributor authorCarlos H. Caldas
    date accessioned2017-05-08T22:25:55Z
    date available2017-05-08T22:25:55Z
    date copyrightJanuary 2016
    date issued2016
    identifier other44647954.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/80529
    description abstractThe purpose of this research effort is to identify the effectiveness of a particular set of important management programs in improving construction labor productivity. These programs were previously defined through industry experts and research consensus as having significant impact on project cost, schedule, safety, scope, and quality performance, but their relationship to labor productivity was not known. Through statistical analyses of the database maintained by the Construction Industry Institute’s Benchmarking and Metrics Committee, headquartered in Austin, Texas, United States, the research presented in this article examined whether projects with high levels of implementation of programs related to front-end planning, materials management, automation and integration of information systems, team building, constructability, and safety, experienced better labor productivity among the mechanical, electrical, concrete, and structural steel trades compared to projects with low levels of implementation. The result showed that the majority of the investigated management programs were statistically significantly correlated to better construction labor productivity, and the significance was different among various craft trades. The paper’s major contribution to the overall body of knowledge is that it comprehensively quantifies the potential relationship of implementing project management programs to labor productivity on large industrial projects.
    publisherAmerican Society of Civil Engineers
    titleStatistical Analysis of the Effectiveness of Management Programs in Improving Construction Labor Productivity on Large Industrial Projects
    typeJournal Paper
    journal volume32
    journal issue1
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000375
    treeJournal of Management in Engineering:;2016:;Volume ( 032 ):;issue: 001
    contenttypeFulltext
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