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Model and algorithms applied to Short-Term Integrated Programming Problem in Mines

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  • Menezes, Gustavo Campos
  • dos Santos Corrêa, Juliano

Abstract

Mineral extraction is a significantly impacted activity. In several countries, this contribution of mineral extraction is very relevant due to the global scales of mining assets in the soil. Large mining companies have multiple productive and logistic resources, and one integrated planning is necessary to optimize these assets and reduce operating costs. In this context, this paper considers integrated short-term programming in open-pit mines. The main contribution of this work is a mathematical model that considers quality, metallurgical recovery for processing plants, mass balance, and inventory control (storage yard) in an integrated approach. Besides the mathematical model, another contribution is the set of algorithms projected to solve the integrated model (Relax and Fix, Fix and Optimize, and Local Branching). Several analyses were made to validate the mathematical model and algorithms, such as variations in supply and demand and adaptations related to the production capacity of the mining complex. The computational results demonstrate the quality of the solutions for various existing scenarios in a mining complex. As a result, the constructed solution approach (model and algorithms) proved to be satisfactory and capable of acting as a decision support tool for an iron ore mining complex.

Suggested Citation

  • Menezes, Gustavo Campos & dos Santos Corrêa, Juliano, 2022. "Model and algorithms applied to Short-Term Integrated Programming Problem in Mines," Resources Policy, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722003944
    DOI: 10.1016/j.resourpol.2022.102950
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    References listed on IDEAS

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