Efficient calculation is key in the optimisation of copperCopper metallurgical processes, strategic planning and data-driven decision making from extractionExtraction to final production. Some of the most important include the modellingModelling of crushingCrushing, grindingGrinding and concentration curves depending on their respective variables, all in operationOperation with an emphasis on cost. This is why the industry is increasingly interested in mathematical modelsModel and computer simulations that allow predicting and dynamically adjusting process variables to obtain much faster and more accurate results and forecasts in a productivity-sustaining consequence. Technological advances in real-time simulation and data analysisAnalysis are key to reducingReducing energy consumptionEnergy consumption, for example, and of course improving copper recoveryCopper recovery with the added bonus of minimising environmental impactsEnvironmental Impact. In this case based on one of the curves (in the processingProcessing area) that were used to predict MAFMINEMAFMINE equations, a project feasibility assessment tool and the amount of points that accumulate in the percentage of certainty of its prediction, we mainly analyse four projects to represent the response activity that the software has, we vary two strategic indicators with which the prediction can be manipulated to find better results in the economic environment.The entire evaluationEvaluation tool is currently in the ESG version; being MAFMINEMAFMINE ESG, a software designed to generate data indicating up to the level ofMining pre-feasibility pre-feasibility of miningMining projects, it has an underground mineMine, open pit mineMine, beneficiation plant and related modules in the interest of costs such as CAPEXCapex and OPEXOPEX.