Adaptive open-pit mining planning under geological uncertainty

Margaret Armstrong, Tomas Lagos, Xavier Emery, Tito Homem-de-Mello, Guido Lagos and Denis Sauré

Resources Policy, 2021, vol. 72, issue C

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.

Keywords: Stochastic optimisation; Adaptive algorithms; Learning; Geostatistical simulations (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:72:y:2021:i:c:s030142072100101x

DOI: 10.1016/j.resourpol.2021.102086

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