Scheduling in iron ore open-pit mining

被引：8
|
作者：
Ibrahimov, Maksud [1 ]
Mohais, Arvind [1 ]
Schellenberg, Sven [2 ]
Michalewicz, Zbigniew [1 ,3 ,4 ]
机构：
[1] Univ Adelaide, Sch Comp Sci, Adelaide, SA 5005, Australia
[2] RMIT Univ, Sch Comp Sci & IT, Melbourne, Vic, Australia
[3] Polish Acad Sci, Inst Comp Sci, PL-01237 Warsaw, Poland
[4] Polish Japanese Inst Informat Technol, PL-02008 Warsaw, Poland
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2014年 / 72卷 / 5-8期
关键词：
Open-pit mining; Scheduling; Metaheuristics; Real-world application; SEARCH ALGORITHM;
D O I：
10.1007/s00170-014-5619-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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：17
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