IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v31y2001i4p50-60.html
   My bibliography  Save this article

Underground Planning at Stillwater Mining Company

Author

Listed:
  • W. Matthew Carlyle

    (Department of Industrial Engineering, Arizona State University, Tempe, Arizona 85287-5906)

  • B. Curtis Eaves

    (Department of Management Science and Engineering, Stanford University, Stanford, California 94305-4023)

Abstract

As part of a new expansion effort, Stillwater Mining Company needed a tool for analyzing development and production scenarios in a new area of an underground platinum and palladium mine in Stillwater, Montana. We developed a large mixed-integer programming model that takes as input the planned mine layout, projected ore quality, and projected costs for basic mining activities, and produces as output a near-optimal schedule of activities that maximizes discounted ore revenue over a given planning horizon. We then used this model to evaluate various planning scenarios and make recommendations about development and production in this new area.

Suggested Citation

  • W. Matthew Carlyle & B. Curtis Eaves, 2001. "Underground Planning at Stillwater Mining Company," Interfaces, INFORMS, vol. 31(4), pages 50-60, August.
    • Handle: RePEc:inm:orinte:v:31:y:2001:i:4:p:50-60
    DOI: 10.1287/inte.31.4.50.9669
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.31.4.50.9669
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.31.4.50.9669?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marco Schulze & Julia Rieck & Cinna Seifi & Jürgen Zimmermann, 2016. "Machine scheduling in underground mining: an application in the potash industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(2), pages 365-403, March.
    2. 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.
    3. Martinez, Michael A. & Newman, Alexandra M., 2011. "A solution approach for optimizing long- and short-term production scheduling at LKAB's Kiruna mine," European Journal of Operational Research, Elsevier, vol. 211(1), pages 184-197, May.
    4. Dónal O’Sullivan & Alexandra Newman, 2014. "Extraction and Backfill Scheduling in a Complex Underground Mine," Interfaces, INFORMS, vol. 44(2), pages 204-221, April.
    5. 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.
    6. 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).
    7. Barry King & Alexandra Newman, 2018. "Optimizing the Cutoff Grade for an Operational Underground Mine," Interfaces, INFORMS, vol. 48(4), pages 357-371, August.
    8. 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.
    9. Yifei Zhao & Jianhong Chen & Shan Yang & Yi Chen, 2022. "Mining Plan Optimization of Multi-Metal Underground Mine Based on Adaptive Hybrid Mutation PSO Algorithm," Mathematics, MDPI, vol. 10(14), pages 1-20, July.
    10. King, Barry & Goycoolea, Marcos & Newman, A., 2017. "Optimizing the open pit-to-underground mining transition," European Journal of Operational Research, Elsevier, vol. 257(1), pages 297-309.
    11. 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.
    12. 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.
    13. Chimunhu, Prosper & Topal, Erkan & Ajak, Ajak Duany & Asad, Waqar, 2022. "A review of machine learning applications for underground mine planning and scheduling," Resources Policy, Elsevier, vol. 77(C).
    14. Peter McKenzie & Alexandra M. Newman & Luis Tenorio, 2008. "Front Range Aggregates Optimizes Feeder Movements at Its Quarry," Interfaces, INFORMS, vol. 38(6), pages 436-447, December.
    15. 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.
    16. 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.
    17. Newman, Alexandra M. & Kuchta, Mark, 2007. "Using aggregation to optimize long-term production planning at an underground mine," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1205-1218, January.
    18. Nesbitt, Peter & Blake, Lewis R. & Lamas, Patricio & Goycoolea, Marcos & Pagnoncelli, Bernardo K. & Newman, Alexandra & Brickey, Andrea, 2021. "Underground mine scheduling under uncertainty," European Journal of Operational Research, Elsevier, vol. 294(1), pages 340-352.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:31:y:2001:i:4:p:50-60. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.