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A new simulated annealing algorithm for simultaneous open-pit and waste dump scheduling in mining complexes.

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This study introduces a new Simulated Annealing (SA) algorithm for optimizing open-pit mining extraction and waste dumping schedules. The novel method significantly reduces computation time while delivering high-quality net present value (NPV) solutions.

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Area of Science:

  • Operations Research
  • Mining Engineering
  • Computational Optimization

Background:

  • Production scheduling in open-pit mining is complex due to numerous variables and constraints.
  • Existing mathematical models struggle with computational intensity for large-scale operations, especially when integrating waste dumping.
  • Simultaneous optimization of extraction and waste disposal is a significant challenge in mining planning.

Purpose of the Study:

  • To develop a computationally efficient algorithm for the simultaneous optimization of block extraction and waste dumping sequences in open-pit mining.
  • To address the limitations of existing models in handling large-scale, complex scheduling problems.
  • To improve the practical applicability of optimization techniques in mining production scheduling.

Main Methods:

  • Development of a novel Simulated Annealing (SA) based algorithm.
  • Incorporation of an innovative variable reduction technique to simplify the problem.
  • Utilization of a heuristic for generating reliable initial solutions to enhance convergence.
  • Comparison against a commercial solver for performance evaluation.

Main Results:

  • The proposed SA algorithm achieved net present value (NPV) within 6.08% of the exact solution from a commercial solver.
  • Runtime was reduced by 82% compared to the commercial solver.
  • The algorithm demonstrated robust performance and delivered high-quality solutions for larger instances intractable for commercial solvers.

Conclusions:

  • The novel SA algorithm offers an efficient and effective solution for the simultaneous optimization of mining extraction and waste dumping schedules.
  • This approach overcomes the computational limitations of traditional methods for large-scale mining operations.
  • The method provides a practical tool for improving decision-making in open-pit mine production planning.