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    Developing and evaluating a framework of total constraint management for improving workflow in liquefied natural gas construction

    Access Status
    Fulltext not available
    Authors
    Wang, Jun
    Shou, Wenchi
    Wang, Xiangyu
    Wu, Peng
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Wang, J. and Shou, W. and Wang, X. and Wu, P. 2016. Developing and evaluating a framework of total constraint management for improving workflow in liquefied natural gas construction. Construction Management and Economics. 34 (12): pp. 859-874.
    Source Title
    Construction Management and Economics
    DOI
    10.1080/01446193.2016.1227460
    ISSN
    0144-6193
    School
    Department of Construction Management
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/LP130100451
    URI
    http://hdl.handle.net/20.500.11937/8319
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 Informa UK Limited, trading as Taylor & Francis Group. Liquefied natural gas projects are complex and full of variability. Their plan reliability is affected by constraints arising from engineering, supply chains and construction site. Effective management of these constraints is critical to reducing project uncertainties and improve workflow. However, current approaches for constraint removal are fragmented and heavily rely on human’s commitments because the underlying data for decision-making are static and outdated. In order to tackle this problem, this paper proposes a framework of total constraint management (TCM), which consists of three main parts: constraint modelling, constraint monitoring and constraint removal. Information technologies (i.e. building information modelling, radio frequency identification, barcoding, laser scanning and photogrammetry) are also discussed and incorporated into the TCM framework so as to make it more practical and effective. A laboratory-based experiment was developed to demonstrate and evaluate the framework. The results showed that successful implementation of TCM could significantly improve construction workflow and productivity.

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