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    Optimizing open-pit block scheduling with exposed ore reserve

    Access Status
    Open access via publisher
    Authors
    Saavedra-Rosas, Jose
    Jélvez, E.
    Amaya, J.
    Morales, N.
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Saavedra-Rosas, J. and Jélvez, E. and Amaya, J. and Morales, N. 2016. Optimizing open-pit block scheduling with exposed ore reserve. Southern African Institute of Mining and Metallurgy. Journal. 116 (7): pp. 655-662.
    Source Title
    Southern African Institute of Mining and Metallurgy. Journal
    DOI
    10.17159/2411-9717/2016/v116n7a7
    ISSN
    2225-6253
    School
    Curtin Graduate School of Business
    URI
    http://hdl.handle.net/20.500.11937/62909
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 The Southern African Institute of Mining and Metallurgy.A crucial problem in the open pit mining industry is to determine the optimal block scheduling, defining how the orebody will be sequenced for exploitation. An orebody is often comprised of several thousand or million blocks and the scheduling models for this structure are very complex, giving rise to very large combinatorial linear problems. Operational mine plans are usually produced on a yearly basis and further scheduling is attempted to provide monthly, weekly, and daily schedules. A portion of the ore reserve is said to be exposed if it is readily available for extraction at the start of the period. In this paper, an integer programming (IP) model is presented to generate pit designs under exposed ore reserve requirements, as an extension of the classical optimization models for mine planning. For this purpose, we introduce a set of new binary variables, representing which blocks can be declared as exposed ore reserve, in addition to the extraction and processing decisions. The model has been coded and tested in a set of standard instances, showing very encouraging results in the generation of operational block schedules.

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