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The integrated optimization of underground stope layout designing and production scheduling incorporating a non-dominated sorting genetic algorithm (NSGA-II)

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  • Foroughi, Sorayya
  • Hamidi, Jafar Khademi
  • Monjezi, Masoud
  • Nehring, Micah

Abstract

Stope layout designing and production scheduling are main phases to determine the profitability of an underground mining project. These are mainly related to the output of one phase, which has a significant impact on generating of the next phase. Individual optimization of these two phases results only in a local optimal solution. To date, the integrated optimization of these phases has been carried out to maximize net present value (NPV). In this paper, a multi-objective integer programming model (MOIP) was developed to optimize this integrated problem in a sublevel stoping operation. The non-dominated sorting genetic algorithm (NSGA-II) was incorporated to solve the objective functions. The Pareto front generated by NSGA-II showed good convergence and diversity with the solution time decreasing significantly (from 7-8 days to 6–7 h). The most preferred solution point on the Pareto front increased recovery by 18.55% in exchange for a 0.41% reduction in NPV with respect to the single objective optimization to maximize NPV.

Suggested Citation

  • Foroughi, Sorayya & Hamidi, Jafar Khademi & Monjezi, Masoud & Nehring, Micah, 2019. "The integrated optimization of underground stope layout designing and production scheduling incorporating a non-dominated sorting genetic algorithm (NSGA-II)," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    • Handle: RePEc:eee:jrpoli:v:63:y:2019:i:c:49
    DOI: 10.1016/j.resourpol.2019.101408
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    References listed on IDEAS

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    1. Mark Kuchta & Alexandra Newman & Erkan Topal, 2004. "Implementing a Production Schedule at LKAB's Kiruna Mine," Interfaces, INFORMS, vol. 34(2), pages 124-134, April.
    2. 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.
    3. Nhleko, AS & Tholana, T. & Neingo, PN, 2018. "A review of underground stope boundary optimization algorithms," Resources Policy, Elsevier, vol. 56(C), pages 59-69.
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    Cited by:

    1. Sotoudeh, Farzad & Nehring, Micah & Kizil, Mehmet & Knights, Peter & Mousavi, Amin, 2020. "Production scheduling optimisation for sublevel stoping mines using mathematical programming: A review of literature and future directions," Resources Policy, Elsevier, vol. 68(C).
    2. Akshay Chowdu & Peter Nesbitt & Andrea Brickey & Alexandra M. Newman, 2022. "Operations Research in Underground Mine Planning: A Review," Interfaces, INFORMS, vol. 52(2), pages 109-132, March.
    3. Furtado e Faria, Matheus & Dimitrakopoulos, Roussos & Lopes Pinto, Cláudio Lúcio, 2022. "Integrated stochastic optimization of stope design and long-term underground mine production scheduling," Resources Policy, Elsevier, vol. 78(C).
    4. Esmaeili, Ahmadreza & Hamidi, Jafar Khademi & Mousavi, Amin, 2023. "Determination of sublevel stoping layout using a network flow algorithm and the MRMR classification system," Resources Policy, Elsevier, vol. 80(C).
    5. Siyu Tu & Mingtao Jia & Liguan Wang & Shuzhao Feng & Shuang Huang, 2022. "A Multi-Equipment Task Assignment Model for the Horizontal Stripe Pre-Cut Mining Method," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    6. Ning Li & Shuzhao Feng & Tao Lei & Haiwang Ye & Qizhou Wang & Liguan Wang & Mingtao Jia, 2022. "Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation," Sustainability, MDPI, vol. 14(6), pages 1-18, March.

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