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    Field Studies in Construction Equipment Economics and Productivity 

    Source: Journal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 010
    Author(s): Govindan Kannan
    Publisher: American Society of Civil Engineers
    Abstract: Earthmoving and construction equipment have evolved significantly during the past century. During the same time, our ability to study and understand equipment economics and productivity has also gained significant ground. ...
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    Development of an Experience Database for Truck Loading Operations 

    Source: Journal of Construction Engineering and Management:;2000:;Volume ( 126 ):;issue: 003
    Author(s): Govindan Kannan; Michael Vorster
    Publisher: American Society of Civil Engineers
    Abstract: Planning and estimating earthmoving operations rely on the ability to collect field data and analyze operations. Two recent developments have dramatically changed the methods used and the results obtained in this process. ...
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    Discussion of “Incorporating Practicability into Genetic Algorithm-Based Time-Cost Optimization” by Bryan Christopher Que 

    Source: Journal of Construction Engineering and Management:;2003:;Volume ( 129 ):;issue: 006
    Author(s): Govindan Kannan; Weng-Tat Chan
    Publisher: American Society of Civil Engineers
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    Discussion of “Simplified Program Evaluation and Review Technique (PERT)” by Govindan Kannan and Paul G. Carr 

    Source: Journal of Construction Engineering and Management:;2001:;Volume ( 127 ):;issue: 001
    Author(s): Govindan Kannan; Paul G. Carr
    Publisher: American Society of Civil Engineers
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    Time-Lapse Video Applications for Construction Project Management 

    Source: Journal of Construction Engineering and Management:;1999:;Volume ( 125 ):;issue: 004
    Author(s): Govindan Kannan; John G. Everett; Thomas G. Schlaff
    Publisher: American Society of Civil Engineers
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    Construction Resource Scheduling with Genetic Algorithms 

    Source: Journal of Construction Engineering and Management:;1996:;Volume ( 122 ):;issue: 002
    Author(s): Weng-Tat Chan; David K. H. Chua; Govindan Kannan
    Publisher: American Society of Civil Engineers
    Abstract: A new approach for resource scheduling using genetic algorithms (GAs) is presented here. The methodology does not depend on any set of heuristic rules. Instead, its strength lies in the selection and recombination tasks ...
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    DSpace software copyright © 2002-2015  DuraSpace
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