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Equipment Selection for Surface Mining: A Review

Author

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  • Christina N. Burt

    (Department of Mathematics and Statistics, University of Melbourne, Melbourne 3010, Australia)

  • Lou Caccetta

    (Department of Mathematics and Statistics, Curtin University of Technology, Bentley 6845, Australia)

Abstract

One of the challenging problems for surface mining operation optimization is choosing the optimal truck and loader fleet. We refer to this problem as the equipment selection problem (ESP). In this paper, we describe the ESP in the context of surface mining and discuss related problems and applications. Within the scope of both the ESP and related problems, we outline modeling and solution approaches. Using operations research literature as a guide, we conclude by pointing to future research directions to improve both the modeling and solution outcomes for practical applications of this problem.

Suggested Citation

  • Christina N. Burt & Lou Caccetta, 2014. "Equipment Selection for Surface Mining: A Review," Interfaces, INFORMS, vol. 44(2), pages 143-162, April.
    • Handle: RePEc:inm:orinte:v:44:y:2014:i:2:p:143-162
    DOI: 10.1287/inte.2013.0732
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    References listed on IDEAS

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    3. Michał Patyk & Przemysław Bodziony & Zbigniew Krysa, 2021. "A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of Equipment Selection for Surface Mining," Energies, MDPI, vol. 14(11), pages 1-14, May.
    4. Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).
    5. Nakousi, C. & Pascual, R. & Anani, A. & Kristjanpoller, F. & Lillo, P., 2018. "An asset-management oriented methodology for mine haul-fleet usage scheduling," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 336-344.
    6. Michał Patyk & Przemysław Bodziony, 2022. "Application of the Analytical Hierarchy Process to Select the Most Appropriate Mining Equipment for the Exploitation of Secondary Deposits," Energies, MDPI, vol. 15(16), pages 1-16, August.
    7. George Kritikakis & Michael Galetakis & Antonios Vafidis & George Apostolopoulos & Theodore Michalakopoulos & Miltiades Triantafyllou & Christos Roumpos & Francis Pavloudakis & Basileios Deligiorgis &, 2023. "Toward the Optimization of Mining Operations Using an Automatic Unmineable Inclusions Detection System for Bucket Wheel Excavator Collision Prevention: A Synthetic Study," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
    8. Yuhao Zhang & Ziyu Zhao & Lin Bi & Liming Wang & Qing Gu, 2022. "Determination of Truck–Shovel Configuration of Open-Pit Mine: A Simulation Method Based on Mathematical Model," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    9. Pérez, Juan & Maldonado, Sebastián & González-Ramírez, Rosa, 2018. "Decision support for fleet allocation and contract renegotiation in contracted open-pit mine blasting operations," International Journal of Production Economics, Elsevier, vol. 204(C), pages 59-69.
    10. Moradi Afrapoli, Ali & Tabesh, Mohammad & Askari-Nasab, Hooman, 2019. "A multiple objective transportation problem approach to dynamic truck dispatching in surface mines," European Journal of Operational Research, Elsevier, vol. 276(1), pages 331-342.

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