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Math Optimization models that integrate multiple business’ areas
Math Optimization models that integrate multiple business’ areas
With MiningMath, you can generate improved nested pits, pushbacks, and schedules that integrate the short and long-term.
MiningMath isn’t necessarily in competition with other mine optimization packages designed to address one or more of these challenges. Instead, it provides you with the flexibility to choose the workflow that aligns best with your requirements.
MiningMath uses block models imported in the 
format. The block’s periods and destinations optimized can also be exported (in and 
formats) and imported back into your other mining package for comparison, pushback design or scheduling purposes.
MiningMath optimizes all periods simultaneously without requiring revenue factors. It has the potential to find higher NPVs compared to traditional methods based on LG/Pseudoflow nested pits, which often overlook processing capacities (resulting in gap problems), destination optimization, and discount rates. Traditionally, in a step-wise process these and various other real-life factors are only considered later, which restricts the project’s potential. Learn more here.
Our single-step optimized pushbacks can streamline your design process and guide your mine schedule when used alongside other software packages. The MiningMath optimizer effectively breaks down your entire deposit (block model) into smaller components, with the primary goal of maximizing Net Present Value while still respecting as many constraints as you wish (including geometric ones).
MiningMath outputs work essentially as optimized pushbacks, aiming to maximize NPV while controlling any variable you choose. When you successfully import MiningMath surfaces ( files) into other applications, they serve as a guide. In other words, MiningMath surfaces should aid these applications in finding higher NPVs. Many of these applications offer the option to predefine the blocks’ destination, allowing you to use MiningMath’s optimized destinations, if you wish. Ultimately, the other applications are then left solely with the task to do the bench scheduling according to your short-term operational/tactical requirements.
Using MiningMath in strategic mine planning enables you to incorporate additional constraints from real-life operations, even if you’re simply reviewing your existing long-term plans. You can also set surface limits. For example, if you have a designed surface of the next five years plan, you can allow short-term planners some controlled flexibility to rerun their mine plans including more operational details, as long as they don’t alter anything from period 6 onwards, and don’t affect the NPV negatively.
In case any opportunities or issues arise, short and long-term teams can collaborate to develop new joint configurations that account for all the strategic and tactical project needs simultaneously. Remaining details, such as designs, can be fine-tuned using other available mining packages.
Explore our Knowledge Base for comprehensive documentation, and engage with our community forums to interact with peers and get your queries resolved.
MiningMath’s methodology has been successfully applied by our partners for several years, with an increasing number of licenses sold worldwide. Press releases and academic research further validate the effectiveness and reliability of our implementation.
With constant developments since 2013, MiningMath has evolved into a mature and robust state, providing solutions straight from the block model. It is the first and only single-step mining optimization engine available in the market!
Windows 64-Bit (x86_64) - 121 MB
Windows 64-Bit (x86_64) - 121 MB
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