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A 3D discrete event simulation model of a truck-shovel network system

Conference Paper


Abstract


  • The efficiency of the truck-shovel haulage system is significantly influenced by the truck fleet size. A discrete event simulation model with 3D animation has been developed to estimate the productivity of a truck-shovel network system, shovel efficiency, truck cycle time, truck utilisation and the optimal fleet size. The simulation model considers the dynamic variability of traffic conditions and also the truck as individual entity. The resulting truck cycle time was found to be realistic and thus providing a better tool for strategic mine planning.

UOW Authors


  •   Zeng, Weiguo (external author)
  •   Baafi, Ernest
  •   Walker, David (external author)
  •   Cai, Dalin (external author)

Publication Date


  • 2016

Citation


  • Zeng, W., Baafi, E., Walker, D. & Cai, D. (2016). A 3D discrete event simulation model of a truck-shovel network system. Proceedings of the Ninth AusIMM Open Pit Operator's Conference (pp. 265-273). Carlton, Australia: The Australasian Institute of Mining and Metallurgy.

Ro Metadata Url


  • https://ro.uow.edu.au/eispapers/6184/

Start Page


  • 265

End Page


  • 273

Place Of Publication


  • Carlton, Australia

Abstract


  • The efficiency of the truck-shovel haulage system is significantly influenced by the truck fleet size. A discrete event simulation model with 3D animation has been developed to estimate the productivity of a truck-shovel network system, shovel efficiency, truck cycle time, truck utilisation and the optimal fleet size. The simulation model considers the dynamic variability of traffic conditions and also the truck as individual entity. The resulting truck cycle time was found to be realistic and thus providing a better tool for strategic mine planning.

UOW Authors


  •   Zeng, Weiguo (external author)
  •   Baafi, Ernest
  •   Walker, David (external author)
  •   Cai, Dalin (external author)

Publication Date


  • 2016

Citation


  • Zeng, W., Baafi, E., Walker, D. & Cai, D. (2016). A 3D discrete event simulation model of a truck-shovel network system. Proceedings of the Ninth AusIMM Open Pit Operator's Conference (pp. 265-273). Carlton, Australia: The Australasian Institute of Mining and Metallurgy.

Ro Metadata Url


  • https://ro.uow.edu.au/eispapers/6184/

Start Page


  • 265

End Page


  • 273

Place Of Publication


  • Carlton, Australia