Multi-agent techniques for planning stripping operations and minimizing environmental risks in mining operations

The research is focused on analyzing the potential of using the multi-agent techniques to optimize stripping operations and reduce the adverse environmental impact in the mining industry. The objective of the work is to develop a comprehensive model for planning of the stripping operations based on multi-agent systems with account of environmental factors. System analysis, simulation modeling, and multi-criteria optimization methods were used as the methodological basis. The empirical selection included data on 25 mining enterprises in Russia over the period of 2018-2023. The key results demonstrate that implementation of the multi-agent systems can shorten the stripping planning time by 27%, cut the volume of transported overburden by 18% and reduce CO2 emissions by 22%. The developed model provides an increase in the forecast accuracy up to 94% and an improvement in the overall efficiency of the stripping operations by 20-25%. The conclusions obtained are of high practical significance for the sustainable development of the mining sector and can serve as a basis for further research in the field of green technologies.