A review of machine learning applications for underground mine planning and scheduling
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DOI: 10.1016/j.resourpol.2022.102693
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Cited by:
- Nikodem Szlązak & Marek Korzec, 2022. "The Solution of the Main Fan Station for Underground Mines Being Decommissioned in Terms of Reducing Energy Consumption by Ventilation," Energies, MDPI, vol. 15(13), pages 1-13, June.
- Siyu Tu & Mingtao Jia & Liguan Wang & Shuzhao Feng & Shuang Huang, 2023. "A Dynamic Scheduling Model for Underground Metal Mines under Equipment Failure Conditions," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
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Keywords
Mixed integer programming; Data analytics; Machine learning; Production scheduling; Mine planning; Optimisation; Underground mining;All these keywords.
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