How to improve mine planning efficiency by 20 times?
π Breakthrough in mining: scientists have developed an innovative approach for open-pit mineral deposit planning!
π‘ Core Technology:
A hybrid algorithm combining:
β Parametric analysis of pit limits;
β Integer programming;
β Strategic decision variable fixation.
π Key Advantages:
βοΈ 95% faster calculations (from 8 hours β 24 minutes!);
βοΈ Handles complex deposits with millions of blocks;
βοΈ Generates alternative extraction scenarios;
βοΈ Maintains 97-99% economic efficiency.
π Practical Applications:
β’ Large-scale open pits;
β’ Deposits with challenging geology;
β’ Rapid plan adjustments to market changes.
For more information, see the article:
π Hasozdemir K., ErΓ§elebi S. Enhancing the performance of integer models for addressing the long-term production planning problem in open pit mines by decision variable fixation based on parametric analysis of the final pit limit. Mining Science and Technology (Russia). 2024;9(2):74-84. https://doi.org/10.17073/2500-0632-2023-09-156
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π t.iss.one/MinSciTech π
#InEnglish #MST #Mining #Optimization #OpenPit #IntegerProgramming #MiningTech #Innovation #Geology #ResourceManagement #Efficiency #Algorithms #DigitalMining #AI #SustainableMining #DataScience #IndustrialOptimization
π Breakthrough in mining: scientists have developed an innovative approach for open-pit mineral deposit planning!
π‘ Core Technology:
A hybrid algorithm combining:
β Parametric analysis of pit limits;
β Integer programming;
β Strategic decision variable fixation.
π Key Advantages:
βοΈ 95% faster calculations (from 8 hours β 24 minutes!);
βοΈ Handles complex deposits with millions of blocks;
βοΈ Generates alternative extraction scenarios;
βοΈ Maintains 97-99% economic efficiency.
π Practical Applications:
β’ Large-scale open pits;
β’ Deposits with challenging geology;
β’ Rapid plan adjustments to market changes.
For more information, see the article:
π Hasozdemir K., ErΓ§elebi S. Enhancing the performance of integer models for addressing the long-term production planning problem in open pit mines by decision variable fixation based on parametric analysis of the final pit limit. Mining Science and Technology (Russia). 2024;9(2):74-84. https://doi.org/10.17073/2500-0632-2023-09-156
Subscribe to our Telegram channel:
π t.iss.one/MinSciTech π
#InEnglish #MST #Mining #Optimization #OpenPit #IntegerProgramming #MiningTech #Innovation #Geology #ResourceManagement #Efficiency #Algorithms #DigitalMining #AI #SustainableMining #DataScience #IndustrialOptimization
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We present the articles of the first issue of scientific journal "Mining Science and Technologyβ (Russia) for 2025:
Scientists studied finely ground tailings from the flotation processing of slags at the Sredneuralsky Copper Smelter ("SUMZ technical sands"), which contain zinc (3.3β3.9%) and copper (0.4β0.5%). These wastes can serve both as a source of valuable metals and as a potential environmental hazard. The study examined the material composition of the magnetic fractions of the "technical sands" and evaluated the efficiency of wet magnetic separation for extracting valuable components. Chemical and phase analyses revealed that zinc and copper were distributed relatively evenly across the fractions, with a slight increase in copper in the non-magnetic fraction and zinc in the weakly magnetic fraction. The application of wet magnetic separation under standard conditions proved insufficiently effective, indicating the need for further research to optimize the technology. The results are important for developing new methods of processing copper smelting waste and reducing its environmental impact.
For more information, see the article:
π Kotelnikova Π.L., Zolotova E.S. Material composition of magnetic fractions of copper-smelting slag flotation tailings. Mining Science and Technology (Russia). 2025;10(1):56-66. https://doi.org/10.17073/2500-0632-2023-08-142
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π t.iss.one/MinSciTech π
#InEnglish #MST #CopperSmeltingProduction #MineralWaste #CopperSmeltingSlag #FlotationTailings #Recycling #MagneticSeparation #ThermomagneticAnalysis #MagneticFractions #MagneticProperties #Fayalite #Forsterite #Diopside #Magnetite #Sphalerite #Zincite #HeavyMetals #WasteProcessing #NonferrousMetallurgy #EnvironmentalImpact #ResourceRecovery #SlagUtilization #Geochemistry #Mineralogy #SustainableMining #TechnogenicRawMaterials #Copper #Slags #Zinc #Waste #Flotation #Separation #Magnetism #Minerals #Ecology #Processing #Research #Technologies #Utilization #Disposal #Geology
Scientists studied finely ground tailings from the flotation processing of slags at the Sredneuralsky Copper Smelter ("SUMZ technical sands"), which contain zinc (3.3β3.9%) and copper (0.4β0.5%). These wastes can serve both as a source of valuable metals and as a potential environmental hazard. The study examined the material composition of the magnetic fractions of the "technical sands" and evaluated the efficiency of wet magnetic separation for extracting valuable components. Chemical and phase analyses revealed that zinc and copper were distributed relatively evenly across the fractions, with a slight increase in copper in the non-magnetic fraction and zinc in the weakly magnetic fraction. The application of wet magnetic separation under standard conditions proved insufficiently effective, indicating the need for further research to optimize the technology. The results are important for developing new methods of processing copper smelting waste and reducing its environmental impact.
For more information, see the article:
π Kotelnikova Π.L., Zolotova E.S. Material composition of magnetic fractions of copper-smelting slag flotation tailings. Mining Science and Technology (Russia). 2025;10(1):56-66. https://doi.org/10.17073/2500-0632-2023-08-142
Subscribe to our Telegram channel:
π t.iss.one/MinSciTech π
#InEnglish #MST #CopperSmeltingProduction #MineralWaste #CopperSmeltingSlag #FlotationTailings #Recycling #MagneticSeparation #ThermomagneticAnalysis #MagneticFractions #MagneticProperties #Fayalite #Forsterite #Diopside #Magnetite #Sphalerite #Zincite #HeavyMetals #WasteProcessing #NonferrousMetallurgy #EnvironmentalImpact #ResourceRecovery #SlagUtilization #Geochemistry #Mineralogy #SustainableMining #TechnogenicRawMaterials #Copper #Slags #Zinc #Waste #Flotation #Separation #Magnetism #Minerals #Ecology #Processing #Research #Technologies #Utilization #Disposal #Geology
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