Open-pit block sequencing optimization: A mathematical model and solution technique

Mousavi, Amin, Kozan, Erhan, & Liu, Shi Qiang (2016) Open-pit block sequencing optimization: A mathematical model and solution technique. Engineering Optimization. (In Press)

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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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1 citations in Scopus
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ID Code: 93107
Item Type: Journal Article
Refereed: Yes
Keywords: mine optimization, block sequencing, hybrid heuristic, simulated annealing
DOI: 10.1080/0305215X.2016.1142080
ISSN: 1029-0273
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Operations Research (010206)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > RESOURCES ENGINEERING AND EXTRACTIVE METALLURGY (091400) > Mining Engineering (091405)
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
  • CRC ORE/P3B-023_Q22013
Copyright Owner: Copyright 2016 Taylor & Francis
Deposited On: 22 Feb 2016 00:50
Last Modified: 25 Feb 2016 10:28

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