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Optimisation of production planning for an innovative hybrid underground mining method

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  • Mousavi, Amin
  • Sellers, Ewan

Abstract

Conventional underground mining methods rely on extracting a large amount of ore rock from its original place and moving it to surface. An innovative idea of in mine recovery (IMR) has been recently presented by Mining3 to minimise rock movements by recovering low grade ore deposit using in-situ leaching concept. In this paper, the added value of the hybridisation of IMR and a conventional mining method is evaluated through a strategic resource-constrained planning model. The proposed integer programming model simultaneously considers orebody characteristics, mining and leaching capacities, processing requirements and associated mining and processing costs. Results of solving the proposed model for a small-scale orebody, demonstrate that integrating IMR into a conventional mining operation can significantly improve the net present values of the project by recovering the low grade part of the orebody usually left as the waste rock in conventional mining methods.

Suggested Citation

  • Mousavi, Amin & Sellers, Ewan, 2019. "Optimisation of production planning for an innovative hybrid underground mining method," Resources Policy, Elsevier, vol. 62(C), pages 184-192.
    • Handle: RePEc:eee:jrpoli:v:62:y:2019:i:c:p:184-192
    DOI: 10.1016/j.resourpol.2019.03.002
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    References listed on IDEAS

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    1. Dónal O’Sullivan & Alexandra Newman, 2014. "Extraction and Backfill Scheduling in a Complex Underground Mine," Interfaces, INFORMS, vol. 44(2), pages 204-221, April.
    2. O’Sullivan, Dónal & Newman, Alexandra, 2015. "Optimization-based heuristics for underground mine scheduling," European Journal of Operational Research, Elsevier, vol. 241(1), pages 248-259.
    3. Nhleko, AS & Tholana, T. & Neingo, PN, 2018. "A review of underground stope boundary optimization algorithms," Resources Policy, Elsevier, vol. 56(C), pages 59-69.
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    Cited by:

    1. Sotoudeh, Farzad & Nehring, Micah & Kizil, Mehmet & Knights, Peter & Mousavi, Amin, 2020. "Production scheduling optimisation for sublevel stoping mines using mathematical programming: A review of literature and future directions," Resources Policy, Elsevier, vol. 68(C).
    2. 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).
    3. Esmaeili, Ahmadreza & Hamidi, Jafar Khademi & Mousavi, Amin, 2023. "Determination of sublevel stoping layout using a network flow algorithm and the MRMR classification system," Resources Policy, Elsevier, vol. 80(C).
    4. Cinna Seifi & Marco Schulze & Jürgen Zimmermann, 2021. "Solution procedures for block selection and sequencing in flat-bedded potash underground mines," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(2), pages 409-440, June.

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