Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/84467
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
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 |
DOI: | 10.1007/s00170-014-5619-8 |
Grant ID: | http://purl.org/au-research/grants/arc/DP0985723 |
Published version: | http://dx.doi.org/10.1007/s00170-014-5619-8 |
Appears in Collections: | Aurora harvest 7 Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.