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

页码：1021 / 1037

页数：17

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