Personne : Moradi Afrapoli, Ali
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Moradi Afrapoli
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Ali
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Université Laval. Département de génie des mines, de la métallurgie et des matériaux
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ncf13706582
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Publication Accès libre A nested multiple objective optimization algorithm for managing production fleets in surface mines(Gordon and Breach Science Publishers, 2022-12-14) Moradi Afrapoli, Ali; Upadhyay, Shiv Prakash; Askari-Nasab, HoomanFleet management system (FMS) plays a vital role in truck and shovel open-pit mining operations. The list of expectations from fleet management systems in open-pit mines range from second-by-second data recording to making dynamic operational decisions. In this paper, we propose a nested fleet management system (N-FMS) for open-pit mining operations. The primary contribution of the proposed system is that in contrast to currently available systems, it connects strategic plans to equipment and removes human intervention by incorporating shovel allocation and plant feed optimization in its decision-making models. Another contribution of the proposed N-FMS is that it simultaneously optimizes the utilization of shovel fleet and truck fleet. The proposed system makes decisions using two nested multiple objective mixed-integer linear goal programming models. Results of implementation of the developed N-FMS in a metal mining case study show that compared to locked-in operation, the mine experienced a 14.6% improvement in its required truck fleet capacity to meet the production target.Publication Accès libre Advanced analytics for surface extraction(SpringerLink, 2022-01-01) Moradi Afrapoli, Ali; Askari-Nasab, HoomanNowadays, approximately 90% of the minerals are extracted using surface mining methods. Surface mining is the process of extracting minerals located at the surface or near the surface. Although at least nine different surface mining methods have been introduced thus far, open pit and strip mining have the highest contribution in raw material extraction from Earth. Deposits that are being mined using these two methods are substantially expensive, both in the capital and operational costs requiring several managerial decisions to be made for the sake of lowering proportions of the total costs. Analytics has had an inevitable role in this matter. It has been involved in the decision-making procedures from method selection to finding the best location for in-pit crushers in surface mines. This chapter elaborates on how analytics contribute to different steps of extracting material using surface mining methods.