Learn MiningMath your way, from foundations to advanced practice.
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Follow the MiningMath learning workflow.
Prepare reliable data, establish reference cases, compare controlled alternatives, and carry the selected result into detailed design.
Import and validate project data and the main required parameters. Organize ranges and uncertainties for later optimization cycles. Represent each controlled variable in imported or calculated fields. Wizards guide formatting, checks and setup while reducing errors. Inputs stay open for later changes.
Run Direct Block Scheduling to generate optimized nested pits. Use them to benchmark against the traditional Best Case or guide standard pushback design in other software. When setting up and running the Base Case, keep relevant constraints as flexible as the project allows.
- Set the general parametersDefine the timing, economic, and execution settings that frame the Base Case.
- Define destinationsMap material flows and destinations consistently with the intended processing and disposal routes.
- Apply production constraintsRepresent the relevant mining, processing, and destination capacities for the Base Case.
- Apply geometric constraintsDefine the geometric controls needed to keep the reference scenario operationally coherent.
- Run the Base CaseStart the fully configured scenario and keep its settings traceable for later comparisons.
- Wait for Completed before loading resultsConfirm successful completion before interpreting or comparing the generated outputs.
- Review the Base Case outputsInterpret the completed scenario’s value, production, destination, and timing evidence before defining a comparison question.
- Inspect the Base Case in the ViewerReview sequence, geometry, destinations, and timing together so the reference can support controlled alternatives.
Each batch varies one chosen parameter across multiple optimized scenarios. Teams compare value, risk, operational trade-offs and the effects of each change, choose a better result as the new reference and define the next goal. The chosen scenario then advances to external mine design.
- Run the configured alternativesExecute every comparison with consistent settings and a traceable scenario lineage.
- Compare the complete PoC evidenceReview value, geometry, timing, and production together instead of relying on a single metric.
- Compare against the NPV upside referenceMeasure how much potential remains between the selected alternative and the upper reference.
Use the optimized solution as a reference in external mine design software. Create broad pushback guidance or preserve more detail to follow the optimized plans more closely, depending on the level of detail required by the study.
Combine AI with the expert support your company needs.
Rely on specialized services to validate MiningMath with your own data, build team autonomy, implement the workflow and expand processing capacity.
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Proof of Concept Validate with your own data.
Run scenario campaigns
from your Base Case to assess
value, geometric sensitivities
and operational trade-offs
in a decision-ready report. -
Training Learn concepts & practice.
Build team autonomy
using your own data,
customized exercises and
direct guidance tailored
to your project context. -
Implementation Implement in your company.
Integrate MiningMath into
your planning process, align
roles and review standards,
and deliver the first studies
with expert guidance. -
Server Campaigns Run scenarios in parallel.
Use more powerful servers
to shorten processing time,
run more scenarios,
compare more alternatives
and reach decisions sooner.