Operation Quality Indicators for Shovel-Truck Systems at Open-Pit Coal Mines

被引:1
|
作者
Voronov, Anton [1 ]
Voronov, Yuri [2 ]
Voronov, Artyom [2 ]
Demirel, Nuray [3 ]
机构
[1] JSC Kuzbassrazrezugol, Kemerovo 650054, Russia
[2] TF Gorbachev Kuzbass State Tech Univ, Kemerovo 650000, Russia
[3] Middle East Tech Univ, Dumlupinar Bulvari 1, TR-06800 Ankara, Turkey
来源
IVTH INTERNATIONAL INNOVATIVE MINING SYMPOSIUM | 2019年 / 105卷
关键词
OPTIMIZATION;
D O I
10.1051/e3sconf/201910501058
中图分类号
TD [矿业工程];
学科分类号
0819 ;
摘要
Stripping and mining operations at open-pit coal mines are performed mainly by heavy shovel-truck systems (STS). One of the main problems of the STS is a rather low level of its operation quality, an objective assessment of which is an important step in identifying the causes of low quality and effective ways to improve it. The purpose of assessing the STS operation quality is defined as a functional criterion. The next important step of the assessment is to choose the set of indicators that most characterize the STS operation quality. In this article we present the rationale, the general principles for the formation of quality indicators set, the sources and the main dependencies for its determination. For this purpose, modern methods of data collection and processing, analysis and synthesis are used. The ability to assess the STS operation quality is very important for identifying the main directions of improving its operational performance, reaching the optimization of the key performance indicators by the quality criterion, and, as a result, for the possible saving of material and technical resources in the open-pit mining of minerals.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Research on Selection and Matching of Truck-Shovel in Oversized Open-Pit Mines
    Xu, Hai
    Liu, Fuchun
    Liao, Jiangnan
    Liu, Taoying
    APPLIED SCIENCES-BASEL, 2023, 13 (06):
  • [2] Research on the method of determining the block size for an open-pit mine integrating mining parameters and shovel-truck's operation efficiency
    Guo, Weiqiang
    Liu, Guangwei
    Li, Jiaming
    Chai, Senlin
    Guo, Shupeng
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [3] A G/M/C//M queueing model for revenue management of shovel-truck systems in an open-pit mine considering carbon emission, a case study
    Navidi, Sina
    Motamedi, Muhammad
    Aghsami, Amir
    Jolai, Fariborz
    INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2023, 18 (02) : 88 - 103
  • [4] Optimization of truck-shovel allocation in open-pit mines under uncertainty: a chance-constrained goal programming approach
    Mohtasham, Mehrnaz
    Mirzaei-Nasirabad, Hossein
    Alizadeh, Behrooz
    MINING TECHNOLOGY-TRANSACTIONS OF THE INSTITUTIONS OF MINING AND METALLURGY, 2021, 130 (02) : 81 - 100
  • [5] Simultaneous Optimization of Final Pit and Production Schedule in Open-pit Coal Mines
    Gu Xiaowei
    Wang Pengfei
    Wang Qing
    Zheng Youyi
    Liu Jianping
    Chen Bin
    INNOVATION MANUFACTURING AND ENGINEERING MANAGEMENT, 2011, 323 : 222 - +
  • [6] Systematic review on prediction of haulage truck fuel consumption in open-pit mines
    Tadubana, Gomolemo
    Sigweni, Boyce
    Ayoung, Daniel Azerikatoa
    INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT, 2024, 38 (10) : 833 - 850
  • [7] Deep Neural Network for Predicting Ore Production by Truck-Haulage Systems in Open-Pit Mines
    Baek, Jieun
    Choi, Yosoon
    APPLIED SCIENCES-BASEL, 2020, 10 (05):
  • [8] Deep Neural Network Models for Improving Truck Productivity Prediction in Open-pit Mines
    Ugurlu, Omer Faruk
    Fan, Chengkai
    Jiang, Bei
    Liu, Wei Victor
    MINING METALLURGY & EXPLORATION, 2024, 41 (02) : 619 - 636
  • [9] Determination of Truck-Shovel Configuration of Open-Pit Mine: A Simulation Method Based on Mathematical Model
    Zhang, Yuhao
    Zhao, Ziyu
    Bi, Lin
    Wang, Liming
    Gu, Qing
    SUSTAINABILITY, 2022, 14 (19)
  • [10] Truck fleet size selection in open-pit mines based on the match factor using a MINLP model
    Mohtasham, Mehrnaz
    Mirzaei-Nasirabad, Hossein
    Askari-Nasab, Hooman
    Alizadeh, Behrooz
    MINING TECHNOLOGY-TRANSACTIONS OF THE INSTITUTIONS OF MINING AND METALLURGY, 2021, 130 (03) : 159 - 175