Quality Criterion of the Loading and Transport System Operation at Open-Pit Mines

Voronov, Yuri E.; Voronov, Anton; Voronov, Artyom

doi:10.1051/e3sconf/201910501048

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…Choosing the optimal mining equipment is challenging problems and depends on many criteria and the applied method of selecting machines: deterministic where fleet size is the function of production requirements and more complex taking into account uncertainty based on approximation algorithms and stochastic models [4]. Voronov et al [5] indicate that the optimal selection of machines is a formidable task, requiring vast amounts of input data especially in the case of mixed equipment fleets. Selection of mining equipment has received a great deal of attention, and the problem has grown in importance lately as the quality of deposits to be mined has deteriorated.…”

Section: Introductionmentioning

confidence: 99%

A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of Equipment Selection for Surface Mining

2021

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Selection and assessment of mining equipment used in open pit rock mines relies chiefly on estimates of overall exploitation cost. The rational arrangement of mining equipment and systems comprising loading machines, haul trucks and crushing plants should be preceded by a thorough analysis of technical and economic aspects, such as investment outlays and the costs of further exploitation, which largely determine the costs of mining operations and the deposit value. Additionally, the operational parameters of the mining equipment ought to be considered. In this study, a universal set of evaluation criteria has been developed, and an evaluation method has been applied for the selection of surface mining equipment and the processing system to be operated in specific mining conditions, defined by the user. The objective of this study is to develop and apply the new methodology of multi-criteria selection of open pit rock mining equipment based on multiple criteria decision-making (MCDM) procedures, to enable the optimization of loading, handling and crushing processes. The methodology, underpinned by the principles of MCDM, provides the dedicated ranking procedures, including the ELECTRE III. The applied methodology allows the alternative options (variants) to be ranked accordingly. Ultimately, a more universal methodology is developed, applicable in other surface mines where geological and mining conditions are similar. It may prove particularly useful in selection and performance assessment of mining equipment and process line configurations in mining of low-quality rock deposits. Therefore, we undertook to develop universal criteria and applications for the selection and performance assessment of process machines for surface mines, taking into account environmental aspects as well as deposit quality.

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Section: Introductionmentioning

confidence: 99%

A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of Equipment Selection for Surface Mining

2021

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“…The literature references cover very different fields, most often discussing financial and human resources and operational KPI implementation [18][19][20][21]. The topics discussed are also to be found in publications from the mining domain [21][22][23]; however, these are often incomplete and do not reflect the possibilities offered by the use of sensor data. Thus, the main contribution of our article is a comprehensive list of indicators applicable at different management levels, taking into account the main perspectives of a process, such as work environment, machinery, and the human factor.…”

Section: Introductionmentioning

confidence: 99%

Review of Key Performance Indicators for Process Monitoring in the Mining Industry

et al. 2020

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The sustainable development of an organisation requires a holistic approach to the evaluation of an enterprise’s goals and activities. The essential means enabling an organisation to achieve goals are business processes. Properly managed, business processes are a source of revenue and become an implementation of business strategy. The critical elements in process management in an enterprise are process monitoring and control. It is therefore essential to identify the Key Performance Indicators (KPIs) that are relevant to the analysed processes. Process monitoring can be performed at various levels of management, as well as from different perspectives: operational, financial, security, or maintenance. Some of the indicators known from other fields (such as personnel management, finance, or lean manufacturing) can be used in mining. However, the operational mining processes require a definition of specific indicators, especially in the context of increasing the productivity of mining machines and the possibility of using sensor data from machines and devices. The article presents a list of efficiency indicators adjusted to the specifics and particular needs of the mining industry resulting from the Industry 4.0 concept, as well as sustainable business performance. Using the conducted research and analysis, a list of indicators has been developed concerning person groups, which may serve as a benchmark for mining industry entities. The presented proposal is a result of work conducted in the SmartHUB project, which aims to create an Industrial Internet of Things (IIoT) platform that will support process management in the mining industry.

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Assessment and prospects for improving the technical level of surface mining machines

et al. 2020

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Assessment of the technical level of surface mining machines is carried out according to a special method of expert-free assessment of min- ing machine quality, known as the G.I. Solod’s technique. The technique is based on the basic principles of qualimetry and allows to assess functional- ly homogeneous machines of different sizes, types and designs based on the functional criterion of the machine that determines its main purpose. Assessment of the technical level of mining machines creates the basis for choosing priority areas for its improvement and development of scientifi- cally-based methods for the optimal design of machines. In this regard, the aim of the work is a comprehensive assessment of the technical level of surface mining machines to increase it and optimize their parameters. For this, methods of mathematical modeling, statistics, data collection and pro- cessing, analysis and synthesis were used. The developed methodology for integrated assessment provides the ability to control the quality of a surface mining machine at all stages of its life cycle: design, manufacture, opera- tion.

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Quality Criterion of the Loading and Transport System Operation at Open-Pit Mines

Cited by 6 publications

References 6 publications

A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of Equipment Selection for Surface Mining

A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of Equipment Selection for Surface Mining

Review of Key Performance Indicators for Process Monitoring in the Mining Industry

Assessment and prospects for improving the technical level of surface mining machines

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