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    Work breakdown structure (WBS) development for underground construction

    Access Status
    Fulltext not available
    Authors
    Siami-Irdemoosa, E.
    Dindarloo, S.
    Sharifzadeh, Mostafa
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Siami-Irdemoosa, E. and Dindarloo, S. and Sharifzadeh, M. 2015. Work breakdown structure (WBS) development for underground construction. Automation in Construction. 58: pp. 85-94.
    Source Title
    Automation in Construction
    DOI
    10.1016/j.autcon.2015.07.016
    ISSN
    0926-5805
    School
    Dept of Mining Eng & Metallurgical Eng
    URI
    http://hdl.handle.net/20.500.11937/23513
    Collection
    • Curtin Research Publications
    Abstract

    A work breakdown structure (WBS) can prove to be pivotal to successful project management planning. There are few published studies about the methodologies or tools to develop the appropriate WBS for a project, and those that are available are limited to the specific areas of construction such as apartment-building construction and boiler manufacturing. This research has an emphasis on developing a methodology with higher generalizability, which has the capability to be customized to complex underground projects. To address this issue, a new methodology that employs hierarchical neural networks to develop the WBS of complex underground projects is presented. This methodology has been applied to several tunnel case studies and it has been shown that for a real project, the model is able to generate the WBS and its activities that are comparable to those generated by a project planner. Consequently, it is concluded that these modeling methods have the capacity to significantly improve the WBSs for complex underground projects and improve key project tasks, such as workload planning, cost estimating and scheduling.

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