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    Optimisation of a Mixed Truck Fleet Schedule through a MIP Model Considering a New Truck-Purchase Option

    Access Status
    Fulltext not available
    Authors
    Fu, Z.
    Topal, Erkan
    Erten, Oktay
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Fu, Z. and Topal, E. and Erten, O. 2014. Optimisation of a Mixed Truck Fleet Schedule through a Mathematical Model Considering a New Truck-Purchase Option. Mining Technology. 123 (1): pp. 30-35.
    Source Title
    Mining Technology
    DOI
    10.1179/1743286314Y.0000000055
    ISSN
    1474-9009
    School
    Western Australian School of Mines
    URI
    http://hdl.handle.net/20.500.11937/14197
    Collection
    • Curtin Research Publications
    Abstract

    Mining is a capital-intensive industry that requires hundreds of million-dollar investment in major equipment. In regards to surface mining operations, mine trucks are the most common pieces of equipment that are used for material haulage. Their maintenance cost, however, constitutes a significant proportion of the overall operational cost. Currently available costing methods and models do not take into account all key constraints and as a result, maintenance cost cannot be minimised. A new mixed integer programming (MIP) model is developed to minimise the maintenance cost for a heterogeneous truck fleet over a multi-year period while considering a new truck-purchase option. The proposed model is applied to truck maintenance cost data from a gold mine in Western Australia. Results indicate 21.64% and 14.76% cost savings over 10 years in comparison to the spread sheet based and original MIP models, respectively.

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