MiningMath

Single-step open-pit mine plan optimisation delivering mathematically superior mine plans.

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HQ Belo Horizonte, Brazil

Size 11-50

About MiningMath

Founded in 2010 in Belo Horizonte, Brazil by operational research specialist Alexandre Marinho, MiningMath developed its software from 2013 and launched commercially in 2015 (originally named SimSched, rebranded to MiningMath in 2019). The company takes a fundamentally different approach to open-pit mine planning by using a proprietary Branch and Cut algorithm (Mixed Integer Linear Programming) to optimise directly from the block model in a single step.

Despite its small size, MiningMath has attracted tier-1 clients including Vale, Glencore, Rio Tinto, Codelco, Kinross, MMG, Antofagasta, and Capstone. An academic case study on a copper deposit showed NPV improvement from 439 to 519 MUSD (+18%) with significant waste reduction. A free Community tier is available for pit optimisation.

— Written by the MSR editorial team

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MiningMath

by MiningMath

MiningMath uses Direct Block Scheduling (DBS) to optimise directly from the block model, eliminating the traditional multi-step workflow (pit optimisation → nested pits → pushback definition → scheduling) that has dominated the industry. Its proprietary Math Programming Solver simultaneously considers pit limits, mining sequencing, material destinations, blending, cut-off grades, geometric constraints (mining widths, bottom widths, vertical advance rates), and NPV maximisation — all in a single run.

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Company Details

HQ: Belo Horizonte, Brazil
Company Size: 11-50
Website: miningmath.com
LinkedIn: View Profile

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