Easily integratable to your preferred package through CSV files
Predefined destinations refers to a predetermined assignment of individual blocks destinations (such as waste or process) within a mining operation before any optimization is performed. We have already seen that MiningMath works with Economic Values for each
Add Constraints to your Project Continuing the validation, start to add the first constraints related to your project so that you can understand its maximum potential. The surface generated in this case could also be
In the early years of the project you will find many concerns and the most value in terms of NPV. Knowing that, we decide to consider a 10-year surface to optimize the first 5 years. By
Certain constraints related to your project can be defined so that you can understand its maximum potential. The surface generated in this case could also be used as a restrict mining in the last period to
MiningMath does not require pre-defined destinations ruled by an arbitrary cut-off grade. Instead, the software uses an Economic Value for each possible destination and for each block. The average grade that delineates whether blocks are classified as ore or waste will be a dynamic consequence of the optimization
Comparing Scenarios Decision Trees provide you with a detailed broad view of your project, allowing you to plan your mining sequence by analyzing every possibility in light of constraints applied to each scenario, which options are more viable and
100 periods The “100 periods” warning message (Figure 1) aims to prevent the user from spending hours with the wrong scenario setup. This is a hint that some parameters might be inconsistent with the information
One of the many possibilities offered by MiningMath’s approach is to have multiple overview scenarios to evaluate different project assumptions, before doing a more detailed work. It does not demand an arbitrary/automated trial-and-error cutoff definition,
Technology has been developed to incorporate social and environmental factors in the mining project optimization, assessing these impacts whilst maximizing its net present value (NPV). The method can quantify socio-environmental aspects, such as dust, noise,
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