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Open-Pit Block-Sequencing Formulations: A Tutorial

Author

Listed:
  • W. Brian Lambert

    (Division of Economics and Business, Colorado School of Mines, Golden, Colorado 80401)

  • Andrea Brickey

    (Department of Mining Engineering, Colorado School of Mines, Golden, Colorado 80401)

  • Alexandra M. Newman

    (Division of Economics and Business, Colorado School of Mines, Golden, Colorado 80401)

  • Kelly Eurek

    (Strategic Energy Analysis Center, National Renewable Energy Lab, Golden, Colorado 80401)

Abstract

A classical problem in the mining industry for open-pit mines involves scheduling the production of notional three-dimensional production blocks, each containing a predetermined amount of ore and waste. That is, given operational resource constraints on extraction and processing, we seek a net present value-maximizing schedule of when, if ever, to extract each block in a deposit. We present a version of the problem, which some literature refers to as ( CPIT ). This constrained ultimate pit limit problem (i.e., open-pit production-scheduling problem variant) produces a sequence of blocks to extract given minimum and maximum bounds on production and processing capacity, and geospatial precedences. Our tutorial demonstrates methods to expedite solutions for instances of this model through variable definition, preprocessing, algorithmic choice, and the provision of an initial feasible solution. As such, our paper is relevant for any mining practitioner interested in production scheduling, and any operations researcher interested in a basic introduction before extending the boundaries of algorithmic development in this area.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:orinte:v:44:y:2014:i:2:p:127-142
    DOI: 10.1287/inte.2013.0731
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    References listed on IDEAS

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    1. 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.
    2. Ramazan, Salih, 2007. "The new Fundamental Tree Algorithm for production scheduling of open pit mines," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1153-1166, March.
    3. 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.
    4. 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.
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    Citations

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    Cited by:

    1. Jélvez, Enrique & Morales, Nelson & Nancel-Penard, Pierre & Cornillier, Fabien, 2020. "A new hybrid heuristic algorithm for the Precedence Constrained Production Scheduling Problem: A mining application," Omega, Elsevier, vol. 94(C).
    2. Amin Mousavi & Erhan Kozan & Shi Qiang Liu, 2016. "Comparative analysis of three metaheuristics for short-term open pit block sequencing," Journal of Heuristics, Springer, vol. 22(3), pages 301-329, June.
    3. 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.
    4. Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).
    5. O’Sullivan, Dónal & Newman, Alexandra, 2015. "Optimization-based heuristics for underground mine scheduling," European Journal of Operational Research, Elsevier, vol. 241(1), pages 248-259.
    6. Thomas W. M. Vossen & R. Kevin Wood & Alexandra M. Newman, 2016. "Hierarchical Benders Decomposition for Open-Pit Mine Block Sequencing," Operations Research, INFORMS, vol. 64(4), pages 771-793, August.
    7. Nelis, Gonzalo & Morales, Nelson & Jelvez, Enrique, 2023. "Optimal mining cut definition and short-term open pit production scheduling under geological uncertainty," Resources Policy, Elsevier, vol. 81(C).
    8. 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.
    9. Alessandro Hill & Andrea J. Brickey & Italo Cipriano & Marcos Goycoolea & Alexandra Newman, 2022. "Optimization Strategies for Resource-Constrained Project Scheduling Problems in Underground Mining," INFORMS Journal on Computing, INFORMS, vol. 34(6), pages 3042-3058, November.
    10. Lorenzo Reus & Mathias Belbèze & Hans Feddersen & Enrique Rubio, 2018. "Extraction Planning Under Capacity Uncertainty at the Chuquicamata Underground Mine," Interfaces, INFORMS, vol. 48(6), pages 543-555, November.
    11. Nancel-Penard, Pierre & Morales, Nelson & Cornillier, Fabien, 2022. "A recursive time aggregation-disaggregation heuristic for the multidimensional and multiperiod precedence-constrained knapsack problem: An application to the open-pit mine block sequencing problem," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1088-1099.
    12. Michelle L. Blom & Adrian R. Pearce & Peter J. Stuckey, 2016. "A Decomposition-Based Algorithm for the Scheduling of Open-Pit Networks Over Multiple Time Periods," Management Science, INFORMS, vol. 62(10), pages 3059-3084, October.

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