About MiningMath

Committed to increasing the sustainable value and facilitating the decision-making process of mining projects since 2010, MiningMath has overcome previously unaddressed computational and mathematical challenges while promoting the spread of knowledge and supporting businesses through win-win relationships.

Through Math Optimization models that integrate multiple business’ areas, MiningMath allows mining managers to improve their strategic analysis through risk assessments unconstrained by step-wise processes.

MiningMath handles all parameters simultaneously and delivers multiple scenarios, accounting for both strategic and tactical, long and/or short-term mine planning aspects. This pioneer and proprietary algorithm framework is one of the unavoidable steps for the next generation of Data Science and Artificial Intelligence technologies applied to mining.

These results could be achieved by integrating MiningMath, previously known as SimSched, within their workflow and extracting the best of each mining package in order to enhance the decision-making process. Among these achievements, this approach has been awarded in Russia, while being applied to a multi-mine project in Chile, and it has been well-accept academically for addressing socio-environmental aspects in an unique manner. Read more about academic research.

MiningMath's technology, maximizes NPV taking into account all aspects simultaneously within the math model, which means a global optimization of the entire mining system. The main drawback of products based on LG or Pseudoflow is that the sequence of nested pits always moves through the same regions; therefore, the resulting pushbacks will be quite similar, no matter how complex your scenarios are, and you might be losing billions in opportunities. The one-step optimization of MiningMath is crucial to take the most out of the solution space for a mining project and takes into account the interdependence of constraints altered across multiple teams. This flexibility means each project assumption changed can be immediately combined with the consequent changes in project assumptions from other areas of the company. Therefore, you can combine the set of constraints of your project and reduce the traditional mine planning approach into a single and optimized step.