Open-pit block sequencing optimization: A mathematical model and solution technique
Data(s) |
18/02/2016
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Taylor & Francis Ltd. |
Relação |
http://eprints.qut.edu.au/93107/1/MosaviKozanLiu_EO%20paper_QUTEPrint.pdf DOI:10.1080/0305215X.2016.1142080 Mousavi, Amin, Kozan, Erhan, & Liu, Shi Qiang (2016) Open-pit block sequencing optimization: A mathematical model and solution technique. Engineering Optimization. (In Press) CRC ORE/P3B-023_Q22013 |
Direitos |
Copyright 2016 Taylor & Francis |
Fonte |
School of Mathematical Sciences; Science & Engineering Faculty |
Palavras-Chave | #010206 Operations Research #091405 Mining Engineering #mine optimization #block sequencing #hybrid heuristic #simulated annealing |
Tipo |
Journal Article |