A Multi-Objective Fuzzy Robust Optimization Model for Open-Pit Mining Planning under Uncertainty

Abstract

Abstract Today, carrying ore from the pit to the unloading sites is very important in open-pit mines. In the mines, due to changes in working conditions such as climate and the physical and mental condition of the workforce, uncertainty in the arrival time of trucks and the rate of ore transport is constantly discussed. This study provided a multi-objective mathematical model for programming the allocation of trucks to different loading sites to optimize cost, production, and environmental objectives. Fuzzy Robust Optimization(FRO) is used for the uncertainty, and the model is solved using LP-Metric. Chadormalu mine has been selected as a case study, and a shift transport was planned. Sensitivity analysis of the main parameters showed that the model could control and deal with uncertainty. The results showed that the optimality robustness factor only affects the value of the objective function \({Z}_{t}\), but the feasibility robustness does not affect any of the measurments.