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Through Math Optimization models that integrate multiple areas of the business, MiningMath handles all parameters simultaneously and delivers multiple scenarios, accounting for both strategic and tactical aspects.
Windows 64-Bit (x86_64) - 58 MB
MiningMath optimizes all periods simultaneously, without the need for revenue factors. It has the potential to find higher NPVs than procedures based on LG/Pseudoflow nested pits, which do not account for processing capacities (gap problems), cutoff policy optimization and discount rate.
MiningMath also offers the option of producing Optimized Pushbacks with controlled ore production and operational designs to guide your mine sequencing. Having this broader view in mind, you are already able to begin the scheduling stage or to import .csv and .xlsx results to other mining packages.
When using MiningMath, scheduling and short-term are not followed by a sequence of steps, but are done in a single and optimized process. This process considers all constraints simultaneously. Therefore, an experienced professional can test multiple scenarios by modifying parameters and advance other stages of his/her work, while MiningMath performs the entire optimization.
Brochure - PDF - 5.12 MB
Autonomous wizards and sensitivity analysis, parallel executions, CAPEX/OPEX, dashboard analysis, and much more!
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Our team is not composed only by our founders and contributors, but also by our partners who foster our community and collaborate with valuable materials and innovative ideas. 🏆 In their honor, we’ve reserved a special space at our website to disclose their professional expertise
Our collaborative spirit is taken very seriously in everything we do, and our partners’ contributions deserve our recognition. 🤝 Matthew Randall PhD, Prof. Douglas Mazzinghy PhD, Prof. Sílvia de Castro Martins MSc and Prof. Jonatas Franco PhD, are mining experts who have been our truthful
Our Insider version 2.4 has just been released and users’ biggest requests have been fulfilled! 🎉 👇 Check out the newest features: ✅ Material flow: combine multiple destinations into more advanced constraints and consider all your routes within the same single-step optimization with the grouping