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    Optimisation of waste rock placement using mixed integer programming

    Access Status
    Fulltext not available
    Authors
    Li, Y.
    Topal, Erkan
    Williams, D.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Li, Y. and Topal, E. and Williams, D. 2014. Optimisation of waste rock placement using mixed integer programming. Mining Technology. 123 (4): pp. 220-229.
    Source Title
    Mining Technology
    DOI
    10.1179/1743286314Y.0000000070
    ISSN
    1474-9009
    School
    Western Australian School of Mines
    URI
    http://hdl.handle.net/20.500.11937/14787
    Collection
    • Curtin Research Publications
    Abstract

    Cost reduction via optimising the scheduling of waste rock placement has a very high potential of success, as large volumes of waste rock are involved in operating an open pit mine, along with high rehabilitation costs. Such scheduling must satisfy both mine planning and environmental considerations, for which mixed integer programming (MIP) models are a well suited methodology. A base MIP model, along with two variants, is created and implemented for a hypothetical mine site. Upon solving the MIP problem with more than two million possible combinations, optimised waste rock placement schedules are automatically generated. The detailed schedules will assist mine planning engineers in mine design and in improving the environmental performance of a waste rock dump.

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