Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Scheduling in iron ore open-pit mining|
|Citation:||International Journal of Advanced Manufacturing Technology, 2014; 72(5-8):1021-1037|
|Publisher:||Springer London Ltd|
|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|
|Appears in Collections:||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.