Please use this identifier to cite or link to this item:
http://hdl.handle.net/2440/97160
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Type: | Journal article |
Title: | Intelligent scheduling for underground mobile mining equipment |
Author: | Song, Z. Schunnesson, H. Rinne, M. Sturgul, J. |
Citation: | PLoS One, 2015; 10(6):e0131003-1-e0131003-21 |
Publisher: | Public Library of Science |
Issue Date: | 2015 |
ISSN: | 1932-6203 1932-6203 |
Statement of Responsibility: | Zhen Song, Håkan Schunnesson, Mikael Rinne, John Sturgul |
Abstract: | Many studies have been carried out and many commercial software applications have been developed to improve the performances of surface mining operations, especially for the loader-trucks cycle of surface mining. However, there have been quite few studies aiming to improve the mining process of underground mines. In underground mines, mobile mining equipment is mostly scheduled instinctively, without theoretical support for these decisions. Furthermore, in case of unexpected events, it is hard for miners to rapidly find solutions to reschedule and to adapt the changes. This investigation first introduces the motivation, the technical background, and then the objective of the study. A decision support instrument (i.e. schedule optimizer for mobile mining equipment) is proposed and described to address this issue. The method and related algorithms which are used in this instrument are presented and discussed. The proposed method was tested by using a real case of Kittilä mine located in Finland. The result suggests that the proposed method can considerably improve the working efficiency and reduce the working time of the underground mine. |
Keywords: | Mining; Motor Vehicles; Finland |
Rights: | © 2015 Song et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited |
RMID: | 0030039128 |
DOI: | 10.1371/journal.pone.0131003 |
Appears in Collections: | Civil and Environmental Engineering publications |
Files in This Item:
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hdl_97160.pdf | Published version | 4.6 MB | Adobe PDF | View/Open |
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