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    Knowledge‐Based Approach to Modular Construction Decision Support

    Source: Journal of Construction Engineering and Management:;1993:;Volume ( 119 ):;issue: 001
    Author:
    Mirza B. Murtaza
    ,
    Deborah J. Fisher
    ,
    Miroslaw J. Skibniewski
    DOI: 10.1061/(ASCE)0733-9364(1993)119:1(115)
    Publisher: American Society of Civil Engineers
    Abstract: The present paper focuses on the decision‐making methodology involved in deciding whether or not to use modular construction techniques in building a petrochemical or power plant. The paper identifies those factors that help construction owners and engineers involved in conceptual project design in their modularization decisions and proposes a formal framework for decision‐making support. A computerized knowledge‐based system assisting in this task is presented and discussed. The system performs feasibility analysis based upon various factors classified into five influencing factor categories—plant location; labor‐related; environmental and organizational; project characteristics; and project risks. The system also performs an economic analysis to determine the impact of modularization on cost and schedule. The performance of the system is validated comparing its recommendations with those of the experts in the construction industry. A statistical hypothesis test, conducted on the recommendations of the system and those of the experts, proves the system's credibility.
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      Knowledge‐Based Approach to Modular Construction Decision Support

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    http://yetl.yabesh.ir/yetl1/handle/yetl/64286
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    contributor authorMirza B. Murtaza
    contributor authorDeborah J. Fisher
    contributor authorMiroslaw J. Skibniewski
    date accessioned2017-05-08T21:51:11Z
    date available2017-05-08T21:51:11Z
    date copyrightMarch 1993
    date issued1993
    identifier other%28asce%290733-9364%281993%29119%3A1%28115%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/64286
    description abstractThe present paper focuses on the decision‐making methodology involved in deciding whether or not to use modular construction techniques in building a petrochemical or power plant. The paper identifies those factors that help construction owners and engineers involved in conceptual project design in their modularization decisions and proposes a formal framework for decision‐making support. A computerized knowledge‐based system assisting in this task is presented and discussed. The system performs feasibility analysis based upon various factors classified into five influencing factor categories—plant location; labor‐related; environmental and organizational; project characteristics; and project risks. The system also performs an economic analysis to determine the impact of modularization on cost and schedule. The performance of the system is validated comparing its recommendations with those of the experts in the construction industry. A statistical hypothesis test, conducted on the recommendations of the system and those of the experts, proves the system's credibility.
    publisherAmerican Society of Civil Engineers
    titleKnowledge‐Based Approach to Modular Construction Decision Support
    typeJournal Paper
    journal volume119
    journal issue1
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)0733-9364(1993)119:1(115)
    treeJournal of Construction Engineering and Management:;1993:;Volume ( 119 ):;issue: 001
    contenttypeFulltext
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    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian