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A novel model for sustainable production scheduling of an open-pit mining complex considering waste encapsulation

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  • Lin, Jingsi
  • Asad, Mohammad Waqar Ali
  • Topal, Erkan
  • Chang, Ping
  • Huang, Jinxin
  • Lin, Wei

Abstract

This work presents a novel mixed integer programming model for simultaneous optimisation of ore production and waste dumping schedule for an open-pit mining complex. The model maximises net present value and generates an optimal flow of materials from multiple sources (open pits, stockpiles) to destinations (processing streams, stockpiles, waste dumps) within the supply chain of a mining complex. In addition, the proposed model implements sustainable mining practices as it ensures the responsible disposal of potentially acid forming waste. An application of the new simultaneous and the traditional two-step (or sequential) methods confirms that the proposed method derives higher net present value and reflects a distinct advantage in addressing the acid mine drainage problem through encapsulation of potentially acid forming wastes. In addition, the results reveal that the new model requires less waste haulage work leading to a significant reduction in greenhouse gas emissions.

Suggested Citation

  • Lin, Jingsi & Asad, Mohammad Waqar Ali & Topal, Erkan & Chang, Ping & Huang, Jinxin & Lin, Wei, 2024. "A novel model for sustainable production scheduling of an open-pit mining complex considering waste encapsulation," Resources Policy, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:jrpoli:v:91:y:2024:i:c:s0301420724003167
    DOI: 10.1016/j.resourpol.2024.104949
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    References listed on IDEAS

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    1. Moreno, Eduardo & Rezakhah, Mojtaba & Newman, Alexandra & Ferreira, Felipe, 2017. "Linear models for stockpiling in open-pit mine production scheduling problems," European Journal of Operational Research, Elsevier, vol. 260(1), pages 212-221.
    2. Amina Lamghari & Roussos Dimitrakopoulos & Jacques A Ferland, 2014. "A variable neighbourhood descent algorithm for the open-pit mine production scheduling problem with metal uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(9), pages 1305-1314, September.
    3. Samavati, Mehran & Essam, Daryl & Nehring, Micah & Sarker, Ruhul, 2017. "A local branching heuristic for the open pit mine production scheduling problem," European Journal of Operational Research, Elsevier, vol. 257(1), pages 261-271.
    4. Groeneveld, Benjamin & Topal, Erkan & Leenders, Bob, 2019. "Examining system configuration in an open pit mine design," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    5. Daniel Espinoza & Marcos Goycoolea & Eduardo Moreno & Alexandra Newman, 2013. "MineLib: a library of open pit mining problems," Annals of Operations Research, Springer, vol. 206(1), pages 93-114, July.
    6. Montiel, Luis & Dimitrakopoulos, Roussos, 2015. "Optimizing mining complexes with multiple processing and transportation alternatives: An uncertainty-based approach," European Journal of Operational Research, Elsevier, vol. 247(1), pages 166-178.
    7. Luis Montiel & Roussos Dimitrakopoulos, 2017. "A heuristic approach for the stochastic optimization of mine production schedules," Journal of Heuristics, Springer, vol. 23(5), pages 397-415, October.
    8. Renaud Chicoisne & Daniel Espinoza & Marcos Goycoolea & Eduardo Moreno & Enrique Rubio, 2012. "A New Algorithm for the Open-Pit Mine Production Scheduling Problem," Operations Research, INFORMS, vol. 60(3), pages 517-528, June.
    9. Danish, Abid Ali Khan & Khan, Asif & Muhammad, Khan & Ahmad, Waqas & Salman, Saad, 2021. "A simulated annealing based approach for open pit mine production scheduling with stockpiling option," Resources Policy, Elsevier, vol. 71(C).
    10. Dorit S. Hochbaum, 2008. "The Pseudoflow Algorithm: A New Algorithm for the Maximum-Flow Problem," Operations Research, INFORMS, vol. 56(4), pages 992-1009, August.
    11. Adrien Rimélé, M. & Dimitrakopoulos, Roussos & Gamache, Michel, 2018. "A stochastic optimization method with in-pit waste and tailings disposal for open pit life-of-mine production planning," Resources Policy, Elsevier, vol. 57(C), pages 112-121.
    12. Dorit S. Hochbaum & Anna Chen, 2000. "Performance Analysis and Best Implementations of Old and New Algorithms for the Open-Pit Mining Problem," Operations Research, INFORMS, vol. 48(6), pages 894-914, December.
    13. Paithankar, Amol & Chatterjee, Snehamoy & Goodfellow, Ryan, 2021. "Open-pit mining complex optimization under uncertainty with integrated cut-off grade based destination policies," Resources Policy, Elsevier, vol. 70(C).
    14. Mai, Ngoc Luan & Topal, Erkan & Erten, Oktay & Sommerville, Bruce, 2019. "A new risk-based optimisation method for the iron ore production scheduling using stochastic integer programming," Resources Policy, Elsevier, vol. 62(C), pages 571-579.
    15. Asad, Mohammad Waqar Ali & Dimitrakopoulos, Roussos, 2013. "A heuristic approach to stochastic cutoff grade optimization for open pit mining complexes with multiple processing streams," Resources Policy, Elsevier, vol. 38(4), pages 591-597.
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