A unique approach to maximizing NPV
Integrating economic, technical, and socio-environmental aspects of the mining business

Strategic decision making
and risk assessment

Strategic decision making
and risk assessment

MiningMath’s mathematical intelligence allows for the evaluation of hundreds of strategic scenarios for each mining project as a basis for making high-level decisions, prior to detailed mine scheduling.

Complex multi-parameter optimization

Complex multi-parameter optimization

MiningMath maximizes the NPV for any open-pit mining project, based on an imported multi-mine block model. The cut-off grade policy and mining phases definitions are now a consequence of a modern global optimization process, given a wide set of realistic mining constraints, such as operational, processing, and socio-environmental requirements.

Socio-environmental quantitative analysis

Socio-environmental quantitative analysis

MiningMath’s technology enables spatially and temporally explicit socio-environmental risks to be constrained in the mining optimization and the economic cost of reducing them to be calculated as a consequence, providing an opportunity to assess alternative project options or explore a socio-environmental cost benefit analysis.

Over 500 M$ added in NPV
in average for real mining projects

Assess opportunities and risks through multiple paths for mining projects and operations

How could we best serve your needs?

GENERAL BENEFITS MiningMath
DEMO
MiningMath
LITE
MiningMath
FULL
Consulting
Services
Global Strategy Optimization
Net Present Value Maximization
Multiple Scenarios for Project Overview
Multi-Destination Cutoff Policy
Accepts Simulated Inputs
For any Open-Pit Deposit
Free Online Tutorials & Support
CONTROL VARIABLES
Sum Properties (Hours, Rock Type, etc.)
Average Properties (Grades, Noise, etc.)
Waste Production
Stockpiles
Geometric Requirements
Force & Restrict Mining Areas
CUSTOM ASSISTANCE
In-house/Advanced Training
Proof-of-Concept & Implementations
Custom Development & Integrations
Consulting in Global Optimization
Request
MM-DEMO
Try
MM-LITE
Try
MM-FULL
Request
Proposal