Sustainable logistic plan for the dynamic distribution of massive mining waste

Abstract

In mining, the decrease in the quality of grades has led to further deepening of the existing deposits, determining the existence of a greater quantity of waste, increasing the probability of contact between the waste and the environment, communities and productive soils. For this reason, we propose new logistics to organize mining spaces, using multi–criteria evaluation techniques, risk assessment and the integration of spatial data within the geographic information system (GIS) to determine the optimal locations of industrial mining waste deposits. These optimal locations consider multiple factors such as geological, physical, territorial and environmental characteristics, soil quality and profitability. We also define a sustainable logistic plan for the dynamic distribution of waste using cellular automata, evaluating the interaction of a determined rhythm of waste production, with the dynamic variable of the wind. In conclusion, we have created a new methodology of systematic vision for the planning and territorial ordering of future mining projects.