Issue |
E3S Web Conf.
Volume 280, 2021
Second International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2021)
|
|
---|---|---|
Article Number | 08001 | |
Number of page(s) | 7 | |
Section | Sustainable Mining | |
DOI | https://doi.org/10.1051/e3sconf/202128008001 | |
Published online | 30 June 2021 |
Modelling for degreasing the mining equipment downtime by optimizing blasting period at Erdenet surface mine
1 Mongolian University Science and Technology, Baga Toiruu 34, Sukhbaatar District, Ulaanbaatar, Mongolia
2 Kryvyi Rih National University, 11 Vitaly Matusevich Str., Kryvyi Rih, 50027, Ukraine
3 National University of Water Management and Nature Resources Use, 11 Soborna Str., Rivne, 33028, Ukraine
4 “Erdenet Industry” State Owned Enterprise, Bayanundur sum, Orkhon province, Mongolia
* Corresponding author: khavalbolot@must.edu.mn
Erdenet copper-molybdenum deposit is the biggest one in the world and has a significant impact on Mongolian society and economy. Today LIEBHERR-994B hydraulic shovels from Germany, electric shovels including EKG-10 and EKG-15 from Russia operate for the mining works, and dump truck BelAZ - 75130 used for transportation. The causes of shovel downtime are classified as technical, technological, and organizational. During the study period, 41% of the total downtime of the excavator’s park was technical, 45% was technological, and 11% was organizational downtime. For shovels, 7% of technological downtime is due to blasting, and for dump trucks 8.7%. In open-pit mining, blasting is performed on a weekly basis, so the duration of this technological downtime can be considered almost constant. If the time between blasts or period of blasting can be arranged optimally, it will be possible to reduce mining equipment’s downtime due to blasting.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.