Analyzing the impact of introducing automated mining process control systems on the efficiency and safety of mining enterprises in Russia

The purpose of the work is to assess the effects from introduction of the automated mining process control systems (AMPCS) and to develop recommendations for their further development in the industry. The research methodology includes: 1) analysis of the functional features and architecture of contemporary AMPCSs; 2) collection and statistical analysis of data on the key performance and safety indicators for enterprises that have implemented the AMPCSs in comparison with the reference group; 3) development and validation of mining process optimization models based on the AMPCS data using the machine learning and operations research methods; 4) execution of an expert-level survey to identify the success factors and barriers in implementation of the AMPCSs. The results have shown that introduction of the AMPCS provides a significant improvement of the key performance indicators (15-20% increase in labour productivity, 10-15% reduction in unit costs) and the key safety indicators (20-25% reduction in accidents minimized downtime) of mining enterprises. The developed optimization models demonstrate high efficiency when using real data.