Abstract
ABSTRACT This paper addresses the optimisation of mineral value chains under metal and material type uncertainty. A mathematical model to simultaneously optimise the extraction decisions and the destination decisions is proposed. A fix-and-optimise scheme that exploits the structure of the problem and uses relaxation and decomposition techniques is introduced to obtain an initial solution, and an adaptive large neighbourhood search heuristic is developed to improve this solution. The proposed solution approach is tested on a real copper-gold mining complex. The results of these experiments show the ability of the proposed solution approach to efficiently address large instances of realistic size and provide schedules where the most valuable material is mined and processed early in the life of the mine and where the risk of not meeting production targets is successfully managed.
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