Open-pit block sequencing optimization: A mathematical model and solution technique |
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Authors: | Amin Mousavi Shi Qiang Liu |
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Affiliation: | Mathematical Sciences School, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia |
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Abstract: | This study presents a comprehensive mathematical formulation model for a short-term open-pit mine block sequencing problem, which considers nearly all relevant technical aspects in open-pit mining. The proposed model aims to obtain the optimum extraction sequences of the original-size (smallest) blocks over short time intervals and in the presence of real-life constraints, including precedence relationship, machine capacity, grade requirements, processing demands and stockpile management. A hybrid branch-and-bound and simulated annealing algorithm is developed to solve the problem. Computational experiments show that the proposed methodology is a promising way to provide quantitative recommendations for mine planning and scheduling engineers. |
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Keywords: | mine optimization block sequencing hybrid heuristic simulated annealing |
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