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Planners' optimism (or maybe commercial necessity) means that most mine plans use equipment rates that are rarely achieved (Lumley and Beckman, 2009). This lack of understanding of what equipment actually moves is causing erroneous equipment forecasts, leading to incorrect mine development plans and economic evaluations. Compounding this problem is...
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... Excavator productivity per 1 m 3 of bucket capacity can be determined by the wellknown formula [m 3 /(h•m 3 )]: P � = 3600 t � ⁄ , where t � is the estimated working cycle duration, s. It is given in the technical characteristics of single-bucket excavators, for example, in [8][9][10]. ...
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.
... (Bassi 2017;Chiarello et al. 2018) Future developments and trend analyses for the mining industry were already been carried out in previous work, Stanway et al. (2015) deals with the general direction and structure of innovative processes and trends in the mining industry and thus more with influencing factors that encourage the implementation of trends (Boudreau-Trudel et al. 2015). Other work focuses on specific technologies, such as for example new machinery in mobile open pit equipment section in Lumley (2012), Lumley et al. (2012), the SX-EW method in copper processing in Ericsson (2012) or new filtering technologies presented by Palmer (2016). These trends are focusing more on mechanical developments of new machinery and new basic processes. ...
... STS is a complex dynamic system, the operation quality of which depends on a number of specific conditions: configuration of the open-pit mine, type of the material transported (overburden or mineral), structure of loading and transport equipment fleets and its condition, organization of fleet operation. World practice shows that, in recent years, the average performance of mining equipment has a strong downward trend, mainly due to increased downtime during the operation (for example, the performance of mining trucks decreased by 41% in 2006-2010, despite new technological achievements [2,3]). ...
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.
