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A fast method to find smooth economic envelopes for block and panel caving mines

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  • Saavedra, Francisco
  • Morales, Nelson
  • Nelis, Gonzalo
  • Gómez, René

Abstract

The first step in the planning of a mine is the determination of the economic envelope, which is the volume that encapsulates the mine layout and maximizes the total economic value; thus, it has a considerable impact in the design and planning of the mining project. The most common approach for calculating the economic envelope of block and panel caving mines is to determine the best envelope for each possible floor and then chose the est from manually. This method is very fast and effective but may generate footprints that are difficult to design and operate as they do not consider any geometrical constraint of the shape of the envelope that are relevant, for example, to limit abutment stress.

Suggested Citation

  • Saavedra, Francisco & Morales, Nelson & Nelis, Gonzalo & Gómez, René, 2023. "A fast method to find smooth economic envelopes for block and panel caving mines," Resources Policy, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:jrpoli:v:83:y:2023:i:c:s0301420723004142
    DOI: 10.1016/j.resourpol.2023.103703
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    References listed on IDEAS

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    1. 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.
    2. Noriega, Roberto & Pourrahimian, Yashar & Ben-Awuah, Eugene, 2020. "A two-step mathematical programming framework for undercut horizon optimization in block caving mines," Resources Policy, Elsevier, vol. 65(C).
    3. 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).
    4. 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.
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