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    Method to Assess the Level of Implementation of Productivity Practices on Industrial Projects

    Source: Journal of Construction Engineering and Management:;2015:;Volume ( 141 ):;issue: 001
    Author:
    Carlos H. Caldas
    ,
    Jung-Yeol Kim
    ,
    Carl T. Haas
    ,
    Paul M. Goodrum
    ,
    Di Zhang
    DOI: 10.1061/(ASCE)CO.1943-7862.0000919
    Publisher: American Society of Civil Engineers
    Abstract: Based on observations of industrial construction sites, it is evident that most industrial projects do not effectively implement historically successful management practices that have the potential to improve construction productivity. Also, these practices are seldom implemented consistently from project to project. To help address this problem, the authors identified essential management practices for productivity improvement and developed the Best Productivity Practices Implementation Index for Industrial Projects (BPPII Industrial) based on these practices. The BPPII Industrial is a method and metric for assessing the planning and implementation levels of key practices needed to ensure high levels of labor productivity. The practices included in the proposed method are those that are widely accepted in academia and industry to have a positive impact on labor productivity. This paper presents the development, verification, and validation of the BPPII Industrial. This paper’s primary contributions are the identification of key productivity practices, quantification of the relative importance of these practices, development of a method to assess the level of implementation of these practices on project productivity performance, and validation of the proposed method based on its implementation on several industrial projects.
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      Method to Assess the Level of Implementation of Productivity Practices on Industrial Projects

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    http://yetl.yabesh.ir/yetl1/handle/yetl/78363
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    contributor authorCarlos H. Caldas
    contributor authorJung-Yeol Kim
    contributor authorCarl T. Haas
    contributor authorPaul M. Goodrum
    contributor authorDi Zhang
    date accessioned2017-05-08T22:20:59Z
    date available2017-05-08T22:20:59Z
    date copyrightJanuary 2015
    date issued2015
    identifier other42765181.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/78363
    description abstractBased on observations of industrial construction sites, it is evident that most industrial projects do not effectively implement historically successful management practices that have the potential to improve construction productivity. Also, these practices are seldom implemented consistently from project to project. To help address this problem, the authors identified essential management practices for productivity improvement and developed the Best Productivity Practices Implementation Index for Industrial Projects (BPPII Industrial) based on these practices. The BPPII Industrial is a method and metric for assessing the planning and implementation levels of key practices needed to ensure high levels of labor productivity. The practices included in the proposed method are those that are widely accepted in academia and industry to have a positive impact on labor productivity. This paper presents the development, verification, and validation of the BPPII Industrial. This paper’s primary contributions are the identification of key productivity practices, quantification of the relative importance of these practices, development of a method to assess the level of implementation of these practices on project productivity performance, and validation of the proposed method based on its implementation on several industrial projects.
    publisherAmerican Society of Civil Engineers
    titleMethod to Assess the Level of Implementation of Productivity Practices on Industrial Projects
    typeJournal Paper
    journal volume141
    journal issue1
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000919
    treeJournal of Construction Engineering and Management:;2015:;Volume ( 141 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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