• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    DEA-Based Performance Evaluation System for Construction Enterprises Based on BIM Technology

    Thumbnail
    View/Open
    %28ASCE%29CP.1943-5487.0000722.pdf (227.5Kb)
    Date
    2018
    Author
    Wu Weidong;Ren Chuxuan;Wang Yuhong;Liu Ting;Li Ling
    Metadata
    Show full item record
    Abstract
    After decades of rapid development by the Chinese construction industry, the management of the construction industry has increasingly relied on good models. Building information modeling (BIM) technology has been used more and more extensively by construction enterprises because BIM can not only improve the quality and efficiency of construction, but can reduce rework and construction costs. This paper studies ways to improve the construction performance level through optimum resource allocation based on the BIM technology method. This paper proposes a data envelopment analysis (DEA)-based performance evaluation system for BIM technology for use by construction enterprises. First, this performance evaluation is established with determined input and output variables within the performance evaluation and analysis model. Then, a total of nine construction projects using BIM technology at their construction stages are selected and analyzed using data envelopment analysis models from the literature. Both ineffective and effective technology units are determined, and input redundancy and output sufficiency of the ineffective technical units are analyzed. The results show that among the studied nine construction projects, the overall project performance level is increased above the moderate level; five of them are effective technology units and the remaining four are ineffective ones. Further analysis of the four ineffective technical units indicates that the most severe input redundancies are electronic equipment investment and construction measures fees. Based on the analysis results, recommendations are provided to improve construction performance levels.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4248610
    Collections
    • Journal of Computing in Civil Engineering

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV