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The advent of digital twins in surface mining: Its time has finally arrived

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  • Hazrathosseini, Arman
  • Moradi Afrapoli, Ali

Abstract

The weaknesses of conventional simulations and ever-increasing capabilities offered by technological trends have compressed the spring of the surface mining industry for a giant leap towards Mining 4.0. Dynamicity and autonomy are two features that ordinary simulation models fail to address. That's why the Digital Twin concept is taking center stage nowadays and appears to hold the key to the mines of the future, wherein real-time data exchange and cognitive decision-making govern. In the present research, we first provide a comprehensive review of simulation applications in surface mining to identify pertinent merits and demerits. Following that, the concept of twinning is dissected, and some industrial frameworks are perused to get more insights. Next, an exemplary six-layer architecture for Digital Twin in surface mines is unveiled to serve as a roadmap for the occurrence of the fourth industrial revolution in the mineral industry. Finally, yet importantly, challenges and opportunities regarding this disruptive technology are expounded.

Suggested Citation

  • Hazrathosseini, Arman & Moradi Afrapoli, Ali, 2023. "The advent of digital twins in surface mining: Its time has finally arrived," Resources Policy, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:jrpoli:v:80:y:2023:i:c:s0301420722005980
    DOI: 10.1016/j.resourpol.2022.103155
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    1. Shishvan, Masoud Soleymani & Benndorf, Jörg, 2019. "Simulation-based optimization approach for material dispatching in continuous mining systems," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1108-1125.
    2. Michael C. Fu, 2002. "Feature Article: Optimization for simulation: Theory vs. Practice," INFORMS Journal on Computing, INFORMS, vol. 14(3), pages 192-215, August.
    3. Alipour, Aref & Khodaiari, Ali Asghar & Jafari, Ahmad & Tavakkoli-Moghaddam, Reza, 2022. "An integrated approach to open-pit mines production scheduling," Resources Policy, Elsevier, vol. 75(C).
    4. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    5. Stephane Blouin & Martin Guay & Karen Rudie, 2007. "An application of discrete-event theory to truck dispatching," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(4), pages 369-391, November.
    6. Christina Burt & Jakob Puchinger, 2012. "Models and Algorithms for Intermodal Transportation and Equipment Selection," Operations Research Proceedings, in: Diethard Klatte & Hans-Jakob Lüthi & Karl Schmedders (ed.), Operations Research Proceedings 2011, edition 127, pages 305-310, Springer.
    7. A. R. Al-Ali & Ragini Gupta & Tasneem Zaman Batool & Taha Landolsi & Fadi Aloul & Ahmad Al Nabulsi, 2020. "Digital Twin Conceptual Model within the Context of Internet of Things," Future Internet, MDPI, vol. 12(10), pages 1-15, September.
    8. Guanghui Zhou & Chao Zhang & Zhi Li & Kai Ding & Chuang Wang, 2020. "Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(4), pages 1034-1051, February.
    9. Chaowasakoo, Patarawan & Seppälä, Heikki & Koivo, Heikki & Zhou, Quan, 2017. "Improving fleet management in mines: The benefit of heterogeneous match factor," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1052-1065.
    10. Verdouw, Cor & Tekinerdogan, Bedir & Beulens, Adrie & Wolfert, Sjaak, 2021. "Digital twins in smart farming," Agricultural Systems, Elsevier, vol. 189(C).
    11. Wilma Polini & Andrea Corrado, 2020. "Digital twin of composite assembly manufacturing process," International Journal of Production Research, Taylor & Francis Journals, vol. 58(17), pages 5238-5252, September.
    12. B W Hollocks, 2006. "Forty years of discrete-event simulation—a personal reflection," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1383-1399, December.
    13. A. J. H. Redelinghuys & A. H. Basson & K. Kruger, 2020. "A six-layer architecture for the digital twin: a manufacturing case study implementation," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1383-1402, August.
    14. Michael W. Grieves, 2005. "Product lifecycle management: the new paradigm for enterprises," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 2(1/2), pages 71-84.
    15. Noriega, Roberto & Pourrahimian, Yashar, 2022. "A systematic review of artificial intelligence and data-driven approaches in strategic open-pit mine planning," Resources Policy, Elsevier, vol. 77(C).
    16. Gilani, Seyyed-Omid & Sattarvand, Javad & Hajihassani, Mohsen & Abdullah, Shahrum Shah, 2020. "A stochastic particle swarm based model for long term production planning of open pit mines considering the geological uncertainty," Resources Policy, Elsevier, vol. 68(C).
    17. Jyrki Savolainen & Ramin Rakhsha & Richard Durham, 2022. "Simulation-based decision-making system for optimal mine production plan selection," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(2), pages 267-281, June.
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