Math Optimization models that integrate multiple business’ areas


Geometric Constraints

Estimated reading: 2 minutes 825 views

For a mining project, the mine planner needs to dimension each unit operation to assign which set of equipment will best suit the existing conditions. On MiningMath, the operational parameters are constraints to the objective function, instead of being applied after pit optimization. This approach allows for solutions that follow either some operational criteria and maximizes NPV, resulting in a better use of the data and identifying opportunities that could be missed by an approach with manual steps and arbitrary assumptions.

The Geometric tab is the place to set minimum mining & bottom widths, and vertical rate of advance, whose values are applicable to every period. The user can also use surfaces to define operational constraints in compliance with period ranges, which can limit, force or achieve an exact shape, based o the constraints hierarchy.

Figure 1 shows the fields where define widths:

  • Mining Width: Distance from a pit to another.

  • Bottom Width: Bottom minimum area.

Currently, MiningMath does not mine partial blocks. As a consequence, the software will round up any widths to cover the next integer block.

Figure 1: Minimum widths

Figure 2 where input VR, also known as sinking rate:

  • Maximum

As said before, the MiningMath will round up the VR to cover the next integer block.

Figure 2: Vertical rate of advance (VR)

Figures 3-5 show a simplistic meaning of each width available and the vertical rate of advance.

For each period range, the user can consider:

  • 1 force mining surface.

  • 1 restrict mining surface.

Each surface file is valid from period A up to final of period B, as highlighted in Figure 6.

Figure 6: Surface mining limits: forcing and restrict mininig.

The following video shows how the variation of operational constraints impacts your solution and how you can take advantage of these parameters to find results more closer to the reality.

Video 1: Operational constraints


Floating-point numbers

Different results for the same scenario? Is it possible to find different result...


MiningMath supports and encourages the translation of its knowledge base to mult...

Imperial System

For importing databases, MiningMath uses the metric system exclusively. In case ...

In-Depth MiningMath

This tutorial provides a detailed guidance to the pages in the knowledge base fo...

Theory Validation

MiningMath’s results are only possible due to its proprietary Math Program...

Guaranteed Solutions

Multiple, complex constraints increase the likelihood of not finding or not exis...

MiningMath Uniqueness

MiningMath allows mining managers to improve their strategic analysis through ri...

Time Limit

It is possible to indicate a time limit in hours before running a scenario in th...

Must-Read Articles

In order to take the maximum of MiningMath’s Optimization we recommend this fl...




Chat Icon Close Icon