Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Single location equipment selection

    Access Status
    Fulltext not available
    Authors
    Burt, C.
    Caccetta, Louis
    Date
    2018
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    Burt, C. and Caccetta, L. 2018. Single location equipment selection. In Studies in Systems, Decision and Control, 75-90.
    Source Title
    Studies in Systems, Decision and Control
    DOI
    10.1007/978-3-319-76255-5_6
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/67779
    Collection
    • Curtin Research Publications
    Abstract

    © 2018, Springer International Publishing AG. In a simple surface mining scenario we can consider the mine to have one mining location and one dump-site connected by a single truck route. Our objective is to determine a purchase and salvage policy for trucks and loaders such that the cost of materials handling is minimized over a multiple period schedule. This problem quickly becomes large scale when we consider large sets of possible trucks and loaders, and long schedules. The inclusion of pre-existing equipment leads to the possibility of heterogeneous fleets, and the non-uniform behaviour of different equipment types (with respect to operating cost, availability and productivity) coupled with compatibility issues adds to the complexity of the problem. In this chapter, we present an integer linear program model for equipment selection that incorporates heterogeneous fleets and pre-existing equipment while optimising over multiple periods. We introduce a specialized linear constraint set to ensure satisfaction of production requirements while accounting for equipment compatibility. We also test the model on a truck and loader case study for surface mines. The resulting model is a robust equipment selection tool that obtains optimal solutions quickly for large sets of equipment and long schedules. Many aspects of the presented model, such as the consideration of multiple periods and pre-existing equipment, are novel for the mining industry and ensure that the model is both a new and advanced equipment selection tool.

    Related items

    Showing items related by title, author, creator and subject.

    • An optimisation approach to materials handling in surface mines
      Burt, Christina Naomi (2008)
      In the surface mining industry the equipment selection problem involves choosing a fleet of trucks and loaders that have the capacity to move the materials specified in the mine plan. The optimisation problem is to select ...
    • Selection criteria for loading and hauling equipment - open pit mining applications
      Hardy, Raymond J (2007)
      Methods for estimating productivity and costs, and dependent equipment selection process, have needed to be increasingly reliable. Estimated productivity and costs must be as accurate as possible in reflecting actual ...
    • Evaluation of monorail haulage systems in metalliferous underground mining
      Besa, Bunda (2010)
      The decline is a major excavation in metalliferous mining since it provides the main means of access to the underground and serves as a haulage route for underground trucks. However, conventional mining of the decline to ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.