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    Learning Curves in Construction: A Critical Review and New Model 

    Source: Journal of Construction Engineering and Management:;2016:;Volume ( 142 ):;issue: 004
    Author(s): F. Jordan Srour; Daoud Kiomjian; Issam M. Srour
    Publisher: American Society of Civil Engineers
    Abstract: This paper brings forth from the literature a series of learning curve models and evaluates them through the lens of the construction industry. The review suggests that there is still no consensus on which model provides ...
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    Linear Programming Approach to Optimize Strategic Investment in the Construction Workforce 

    Source: Journal of Construction Engineering and Management:;2006:;Volume ( 132 ):;issue: 011
    Author(s): Issam M. Srour; Carl T. Haas; David P. Morton
    Publisher: American Society of Civil Engineers
    Abstract: The construction industry in the United States and other parts of the world has been facing several challenges, including a shortage of skilled workers. A review of the relevant body of knowledge indicates that one of the ...
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    What Does the Construction Industry Value in Its Workers? 

    Source: Journal of Construction Engineering and Management:;2006:;Volume ( 132 ):;issue: 010
    Author(s): Issam M. Srour; Carl T. Haas; John D. Borcherding
    Publisher: American Society of Civil Engineers
    Abstract: This paper briefly characterizes today’s United States (U.S.) construction workforce, and attempts to provide evidence for what the construction industry most values in its workers. It presents the social and demographic ...
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    Learning Curves in Construction: A Critical Review and New Model 

    Source: Journal of Construction Engineering and Management:;2016:;Volume ( 142 ):;issue: 004
    Author(s): F. Jordan Srour; Daoud Kiomjian; Issam M. Srour
    Publisher: American Society of Civil Engineers
    Abstract: This paper brings forth from the literature a series of learning curve models and evaluates them through the lens of the construction industry. The review suggests that there is still no consensus on which model provides ...
    Request PDF

    Data-Driven Machine Learning Approach to Integrate Field Submittals in Project Scheduling 

    Source: Journal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 001:;page 04020104
    Author(s): Mohamad Awada; F. Jordan Srour; Issam M. Srour
    Publisher: ASCE
    Abstract: Construction projects are data-rich environments. However, those data are usually captured for site-specific reasons, e.g., the filing and approval of inspection requests, with little regard to how they can be leveraged ...
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