Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/84467
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Type: Journal article
Title: Scheduling in iron ore open-pit mining
Author: Ibrahimov, M.
Mohais, A.
Schellenberg, S.
Michalewicz, Z.
Citation: International Journal of Advanced Manufacturing Technology, 2014; 72(5-8):1021-1037
Publisher: Springer London Ltd
Issue Date: 2014
ISSN: 0268-3768
1433-3015
Statement of
Responsibility: 
Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg, Zbigniew Michalewicz
Abstract: During the last few years, most production-based businesses have been under enormous pressure to improve their top-line growth and bottom-line savings. As a result, many companies are turning to systems and technologies that can help optimise their supply chain activities. In this paper, we discuss a real-world application of scheduling in the mining industry. This is a highly constrained problem with some of the constraints changing over time. The objective is to generate a plan that meets the quality and tonnage targets by utilising the provided equipment and machines. The mathematical model is described in detail, and a three-module complex algorithm based on computational intelligence is proposed. The main software functionality is also described. The developed software is currently in the production use.
Keywords: Open-pit mining; Scheduling; Metaheuristics; Real-world application
Rights: © Springer-Verlag London 2014
RMID: 0020138836
DOI: 10.1007/s00170-014-5619-8
Grant ID: http://purl.org/au-research/grants/arc/DP0985723
Appears in Collections:Computer Science publications

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