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Medium-Term Production Scheduling of the Lumwana Mining Complex

Author

Listed:
  • Martin L. Smith

    (MineSmith Pty., Ltd., Kenmore, Queensland 4069, Australia)

  • Stewart J. Wicks

    (MineSmith Pty., Ltd., Kenmore, Queensland 4069, Australia)

Abstract

In this paper, we discuss our development of a life-of-mine production plan for Barrick Gold Corporation’s Lumwana operation, a large copper mining complex based on the Chimiwungo and Malundwe reserves. In our production plan, we maximize recovered copper metal based on a mixed-integer program (MIP) formulation with reserve aggregations that approximate those used in operational mine planning. We discuss the application of a MIP to medium-term planning based on a 60-month production schedule. Constraints on shovel placement, uranium levels in mill feed, stockpiling and mining, and processing capacity ensure that the resulting production schedules and resource allocation are operationally feasible. At Lumwana, our MIP solution strategies optimize the scheduling problem at two levels of time and production-volume granularity. A coarse solution based on annual production from aggregated reserve blocks sets the overall production strategy. This strategy is then imposed on a schedule of monthly production for the scheduling volumes used in actual production planning. This problem was not solvable as a single multiperiod monolith. Instead, we solved a sequence of overlapping multiperiod problems in which each subproblem advances the schedule horizon a given number of periods while fixing the solution to the initial periods of the previous subproblem. We solve multiple options relating to production capacity with a life-of-business optimization system (LOBOS) that we developed.

Suggested Citation

  • Martin L. Smith & Stewart J. Wicks, 2014. "Medium-Term Production Scheduling of the Lumwana Mining Complex," Interfaces, INFORMS, vol. 44(2), pages 176-194, April.
  • Handle: RePEc:inm:orinte:v:44:y:2014:i:2:p:176-194
    DOI: 10.1287/inte.2014.0737
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    References listed on IDEAS

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    1. Robert Bixby & Edward Rothberg, 2007. "Progress in computational mixed integer programming—A look back from the other side of the tipping point," Annals of Operations Research, Springer, vol. 149(1), pages 37-41, February.
    2. W. Brian Lambert & Andrea Brickey & Alexandra M. Newman & Kelly Eurek, 2014. "Open-Pit Block-Sequencing Formulations: A Tutorial," Interfaces, INFORMS, vol. 44(2), pages 127-142, April.
    3. Rafael Epstein & Marcel Goic & Andrés Weintraub & Jaime Catalán & Pablo Santibáñez & Rodolfo Urrutia & Raúl Cancino & Sergio Gaete & Augusto Aguayo & Felipe Caro, 2012. "Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines," Operations Research, INFORMS, vol. 60(1), pages 4-17, February.
    4. W. Matthew Carlyle & B. Curtis Eaves, 2001. "Underground Planning at Stillwater Mining Company," Interfaces, INFORMS, vol. 31(4), pages 50-60, August.
    5. Alexandra M. Newman & Enrique Rubio & Rodrigo Caro & Andrés Weintraub & Kelly Eurek, 2010. "A Review of Operations Research in Mine Planning," Interfaces, INFORMS, vol. 40(3), pages 222-245, June.
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    Cited by:

    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. Cinna Seifi & Marco Schulze & Jürgen Zimmermann, 2021. "Solution procedures for block selection and sequencing in flat-bedded potash underground mines," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(2), pages 409-440, June.
    3. Pérez, Juan & Maldonado, Sebastián & González-Ramírez, Rosa, 2018. "Decision support for fleet allocation and contract renegotiation in contracted open-pit mine blasting operations," International Journal of Production Economics, Elsevier, vol. 204(C), pages 59-69.
    4. Tabesh, Mohammad & Moradi Afrapoli, Ali & Askari-Nasab, Hooman, 2023. "A two-stage simultaneous optimization of NPV and throughput in production planning of open pit mines," Resources Policy, Elsevier, vol. 80(C).

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