Abstract

Decreasing ore grades combined with increasing pit depths call for the development of solutions to ensure efficient interaction within the mine-to-mill concept, which should be adapted to each specific mining operation and will optimize the production costs. The aim of the study was to develop a methodological approach to assess the particle size distribution of material within the mine-to-mill process. The study applied a comprehensive approach, which includes scientific analysis and generalization of previously published research results. From the methodological point of view, the study was based on the system analysis methods, as well as on the use of information technologies. A conclusion is made that a mathematical apparatus needs to be created and implemented, which would allow formalizing the nature of statistical data on the particle size distribution. The solution of this problem is extremely important to obtain a time series describing the dynamics of the process over time, since most of the data have a different format of representation. The authors believe that a promising approach is to use predictive analytics, i.e. a tool for analyzing statistically significant and objective data, which helps to make accurate forecasts for decisionmaking.

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