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Adaptive open-pit mining planning under geological uncertainty

Author

Listed:
  • Armstrong, Margaret
  • Lagos, Tomas
  • Emery, Xavier
  • Homem-de-Mello, Tito
  • Lagos, Guido
  • Sauré, Denis

Abstract

This research project developed an adaptive stochastic optimisation approach for multi-period production scheduling in open-pit mines under geological uncertainty, and compared it to an existing two-stage optimisation method. This new rolling-horizon optimisation approach updates the geological model each time period as new information becomes available. Numerical tests carried out earlier on open-pits of different sizes showed that, on average, the rolling-horizon adaptive policy gave better results than the non-adaptive two-stage approach. The metric used was the percentage gap between the results for each policy and those that would be obtained if the true block grades were perfectly known.

Suggested Citation

  • Armstrong, Margaret & Lagos, Tomas & Emery, Xavier & Homem-de-Mello, Tito & Lagos, Guido & Sauré, Denis, 2021. "Adaptive open-pit mining planning under geological uncertainty," Resources Policy, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:jrpoli:v:72:y:2021:i:c:s030142072100101x
    DOI: 10.1016/j.resourpol.2021.102086
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    References listed on IDEAS

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    Cited by:

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    3. Enrique Jelvez & Julian Ortiz & Nelson Morales Varela & Hooman Askari-Nasab & Gonzalo Nelis, 2023. "A Multi-Stage Methodology for Long-Term Open-Pit Mine Production Planning under Ore Grade Uncertainty," Mathematics, MDPI, vol. 11(18), pages 1-19, September.

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