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    Systems information modelling: Enabling digital asset management

    Access Status
    Fulltext not available
    Authors
    Love, Peter
    Zhou, Jingyang
    Matthews, Jane
    Luo, H.
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Love, P. and Zhou, J. and Matthews, J. and Luo, H. 2016. Systems information modelling: Enabling digital asset management. Advances in Engineering Software. 102: pp. 155-165.
    Source Title
    Advances in Engineering Software
    DOI
    10.1016/j.advengsoft.2016.10.007
    ISSN
    0965-9978
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/58367
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 Elsevier LtdHaving access to the right information at the right time has been, and remains a pervasive problem during operations and maintenance (O&M) and thus hinders an asset owner's ability to ensure their facilities performance are being optimized. Typically, asset managers are often confronted with ‘As-built’ documentation that is prepared using Computer-Aided-Design (CAD) and is often incomplete, erroneous and/or redundant, which adversely impacts an asset's integrity and productivity during O&M. With this mind, the quality of information contained within ‘As-Built’ electrical documentation for an ‘Underground Railway Station’ is evaluated by quantifying the errors and omissions contained within them. The cost to document information using CAD compared to the development of a System Information Model (SIM) is determined. A retrospective SIM is constructed and a bi-directional link with a three dimensional (3D) model is established to ensure the integrity of the information required for O&M. The use of a SIM instead of CAD can provide engineers with a new medium and process for preparing the design and documentation of electrical systems as it provides them with an ability to obtain significant productivity and cost benefits. The empirical research presented in this paper provides the impetus for future research in the fertile and unexplored area of Digital Asset Management for infrastructure projects.

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