Scheduling in iron ore open-pit mining

被引：0
|
作者：
Maksud Ibrahimov
Arvind Mohais
Sven Schellenberg
Zbigniew Michalewicz
机构：
[1] University of Adelaide,School of Computer Science
[2] RMIT University,School of Computer Science and IT
[3] Institute of Computer Science,undefined
[4] Polish Academy of Sciences,undefined
[5] Polish-Japanese Institute of Information Technology,undefined
来源：
The International Journal of Advanced Manufacturing Technology | 2014年 / 72卷
关键词：
Open-pit mining; Scheduling; Metaheuristics; Real-world application;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：1021 / 1037
页数：16
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