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Complex Simulation of Stockyard Mining Operations

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Advances in Global Optimization

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 95))

Abstract

Conflicts between resources in stockyards cause mining companies millions of dollars a year. An effective planning strategy needs to be established in order to reduce these operational conflicts. In this research a stockyard simulation model of a mining operation is proposed. The simulation uses discrete event and continuous strategies to create a high detail level of visualization and animation that closely resemble actual stockyard operation. The proposed simulation model is tightly integrated with a stockpile planner and it is used to evaluate the feasibility of a given production plan. The high detail visualization of the simulation model allows planner to determine the source of conflict, which can be used to guide the elimination of these conflicts.

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Acknowledgements

This research is supported by the Centre for Intelligent Systems Research in Deakin University.

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Authors and Affiliations

  1. Centre for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia

    Vu Thanh Le, Michael Johnstone, James Zhang, Burhan Khan, Doug Creighton, Samer Hanoun & Saeid Nahavandi

Authors
  1. Vu Thanh Le
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  2. Michael Johnstone
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  3. James Zhang
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  4. Burhan Khan
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  5. Doug Creighton
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  6. Samer Hanoun
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  7. Saeid Nahavandi
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Corresponding author

Correspondence to Vu Thanh Le .

Editor information

Editors and Affiliations

  1. School of Science, Information Technology and Engineering, Federation University Australia, Ballarat, Victoria, Australia

    David Gao

  2. School Science, Inform., Tech. & Engg., Federation University Australia, Ballarat, Victoria, Australia

    Ning Ruan

  3. Dept. of Mathematical Sciences, Tsinghua University, Beijing, China

    Wenxun Xing

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Le, V.T. et al. (2015). Complex Simulation of Stockyard Mining Operations. In: Gao, D., Ruan, N., Xing, W. (eds) Advances in Global Optimization. Springer Proceedings in Mathematics & Statistics, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-319-08377-3_52

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