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Role of Digital Transformation in Mining Industry: Enhancing Efficiency, Safety and Sustainability Cover

Role of Digital Transformation in Mining Industry: Enhancing Efficiency, Safety and Sustainability

Open Access
|Apr 2025

References

  1. Muller R., Gale W., Roberts D., 2018 The digital revolution: Mining starts to reinvent the future. McKinsey & Company. Retrieved from https://www.mckinsey.com/industries/metals-and-mining/our-insights/the-digital-revolution-mining-starts-to-reinvent-the-future
  2. Sun Q., Xu Y., Yang K., Li Y., Huang Y., 2020 Application of Internet of Things (IoT) in sustainable mining development. Journal of Cleaner Production, 256, 120300. https://doi.org/10.1016/j.jclepro.2020.120300
  3. Peters S., Doyon N., Mueller S., 2018 How virtual reality is shaping the future of mining training. Deloitte. Retrieved from https://www2.deloitte.com/ca/en/pages/energy-and-resources/articles/how-virtual-reality-is-shaping-the-future-of-mining-training.html
  4. Wen Z., Li X., Zhang L., Song X., 2018 Intelligent mining technology for an underground metal mine based on unmanned equipment. Tunnelling and Underground Space Technology, 81, 511-519. https://doi.org/10.1016/j.tust.2018.08.048
  5. Tobias R., Verma A.K., Singh T.N., 2019 Mine planning and scheduling optimization for sustainable mining operations. Resources Policy, 61, 151-159. https://doi.org/10.1016/j.resourpol.2019.02.004
  6. Chandrahas N.S., Choudhary B.S., Teja V.M., Venkatramayya M.S., Prasad K.N.S.R., 2022 XGBoost Algorithm to Simultaneous Prediction of Rock Fragmentation and Induced Ground Vibration Using Unique Blast Data, AppliedSciences, 2022, 12, 5629.
  7. Fuerst J., Li L., Liu J., 2020 Mining Big Data for Optimization of Mineral Processing Operations. Minerals Engineering, 155, 106572
  8. Chandrahas N.S., Choudhary B.S., Venkataramayya M.S., 2023 Competitive algorithm to balance and predict blasting outcomes using measured field data sets. Comput Geosci, https://doi.org/10.1007/s10596-023-10254-x
  9. Chandrahas N. S., Fissha Y., Choudhary B. S., Olamide Taiwo B., Venkataramayya M. S., Adachi T., 2024 Experimental data – driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools. International Journal of Mining, Reclamation and Environment, 1–35. https://doi.org/10.1080/17480930.2024.2340876
DOI: https://doi.org/10.2478/minrv-2025-0001 | Journal eISSN: 2247-8590 | Journal ISSN: 1220-2053
Language: English
Page range: 1 - 11
Published on: Apr 1, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 N. Sri Chandrahas, A. Surendra Babu, T. Malleshwara Rao, S. Hareesh Babu, Kuldeep Singh, published by University of Petrosani
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.