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    Bayesian Markov Chain Monte Carlo Model for Determining Optimum Tender Price in Multifamily Housing Projects 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 003
    Author(s): Sangyong Kim; Gwang-Hee Kim; Dongoun Lee
    Publisher: American Society of Civil Engineers
    Abstract: This study presents a strategy model for determining the optimum tender price that reflects appropriate profit and risk contingencies in competitive tendering according to the Bayesian Markov Chain Monte Carlo (BMCMC) ...
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    Case Study on the Determination of Building Materials Using a Support Vector Machine 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 002
    Author(s): Jungseop Kim; Sangyong Kim; Llewellyn Tang
    Publisher: American Society of Civil Engineers
    Abstract: For any construction project to succeed, it is very important to select the materials accurately during the project’s initial stage. Trying to choose the best-performing materials is a crucial task for the successful ...
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    Contractor-Led Critical Design Management Factors in High-Rise Building Projects Involving Multinational Design Teams 

    Source: Journal of Construction Engineering and Management:;2017:;Volume ( 143 ):;issue: 005
    Author(s): Seoung-Wook Whang; Roger Flanagan; Seungho Kim; Sangyong Kim
    Publisher: American Society of Civil Engineers
    Abstract: High-rise building projects (HRPs) are comprised of various complex design elements. The involvement of a multinational design team increases design-related issues for contractors, which must be managed during the construction ...
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