ADAPTIVE MANAGEMENT OF COMPREHENSIVE MECHANIZATION PARAMETERS FOR OPEN PIT MINING OPERATIONS UNDER CHANGING CUT-OFF GRADE OF MINERAL RESOURCE

Abstract

Cut-off grade management is an important tool for adapting open pit mining operations that determines the economic efficiency of the production cycle. Traditional approaches to determining optimal cut-off grade are based on assumptions of stable economic conditions and constant parameters. However, modern market conditions are characterized by high price volatility, uncertainty in deposit development costs, and instability of other economic factors. The work presents an analysis of scientific sources regarding cut-off grade management methods from classical deterministic approaches to modern stochastic models. Based on the conducted analysis, the need for technological adaptation of qualitative amplitude-frequency characteristics of material flow has been revealed. To reduce operating costs, it is proposed to implement mobile crushing and rehandling complexes within cyclicalstreaming technology. An approach is proposed for solving the dynamic problem of selecting the location point of the reloading station to minimize truck transportation distance and stabilize qualitative indicators of material flow. The optimization itself is proposed to be performed using the simplex method in two stages: first – determining daily ore volumes from each working face; second – determining the center of mass of material flow considering charge quality requirements. A mathematical model has been developed for establishing the coordinates of the reloading station for typical conditions of deep iron ore pits. The optimal position of the reloading station has been calculated. The research results can be useful for design organizations and technical departments of mining enterprises for determining the step of relocating reloading stations and improving transportation management systems.