TechSelectAI
Specialist buyer guide · Mining technical services & operations

Mining Operations & Mine Planning Software: Selection Guide

A vendor-neutral framework for evaluating software across geology and resource modelling, mine design, strategic planning, production scheduling, operational execution, fleet and dispatch, drill and blast, material workflows, optimization, survey/spatial data and governed integration.

Evidence boundary: a recorded capability means TechSelectAI has documented support or a stated condition for the relevant product or named module. Not yet verified is a research gap, not evidence that the product lacks the capability. This guide does not rank vendors or convert add-on/module evidence into universal base-product entitlement.

What to evaluate

Use the current mining category modules to define the technical scope before comparing products. Mine planning suites frequently divide functionality across base products, modules, add-ons and adjacent operational systems, so entitlement and product boundaries should be validated explicitly.

Requirements area

Data, Integration & Governance

6 recorded criteria available for research and comparison.

Requirements area

Drill & Blast

6 recorded criteria available for research and comparison.

Requirements area

Fleet & Dispatch

6 recorded criteria available for research and comparison.

Requirements area

Geology & Resource Modelling

8 recorded criteria available for research and comparison.

Requirements area

Grade Control & Material

6 recorded criteria available for research and comparison.

Requirements area

Mine Design

8 recorded criteria available for research and comparison.

Requirements area

Operational & Shift Planning

6 recorded criteria available for research and comparison.

Requirements area

Optimization & Simulation

6 recorded criteria available for research and comparison.

Requirements area

Safety & OT Integration

5 recorded criteria available for research and comparison.

Requirements area

Scheduling

8 recorded criteria available for research and comparison.

Requirements area

Strategic Planning

6 recorded criteria available for research and comparison.

Requirements area

Survey & Spatial

5 recorded criteria available for research and comparison.

A practical selection sequence

1. Separate planning horizons and workflowsDefine geology/resource, design, strategic, medium-term, short-term and operational execution needs separately rather than assuming one suite covers every horizon.
2. Map product and module boundariesConfirm which named product, package, add-on or module delivers each requirement and whether evidence applies to the base product or an optional entitlement.
3. Validate mine-specific constraintsTest mining method, scheduling logic, calendars, equipment/resource constraints, stockpile/material rules, scenario analysis and integration needs against representative data.
4. Verify governance and implementation evidenceConfirm data interfaces, access controls, deployment assumptions, implementation responsibilities, source freshness and contractual scope in writing.

Publication-ready TechSelectAI research set

These profiles meet the current publication-readiness rule used by this guide: at least five unique known capability facts and at least two verified evidence sources. This is a research-depth threshold, not a product score, recommendation or ranking.

Deswik

Deswik Planning

Mine planning and scheduling product; product boundaries remain subject to the vendor evidence cycle.

8 known capability facts · 2 verified sources
Hexagon

Hexagon MinePlan

Mine-planning product family; MineOperate and fleet capability remain separate product boundaries unless directly evidenced.

13 known capability facts · 5 verified sources
Maptek

Maptek Evolution

Mine scheduling and optimization product; design and geology capability must not be assumed.

12 known capability facts · 3 verified sources
Maptek

Maptek Vulcan

Mining geological modelling, design and planning product; workflow scope must be verified per product/module.

17 known capability facts · 5 verified sources
Micromine

Micromine Origin

Geological modelling and mine-design product; operational and scheduling scope remains evidence-pending.

10 known capability facts · 4 verified sources

How to compare responsibly

Compare product evidence against the mine's requirements rather than treating feature totals as a winner. Partial support often reflects named module or add-on scope. Keep research-pending requirements open in the RFP until the exact product/module entitlement is demonstrated and documented.

Mining Operations & Mine Planning implementation roadmap

Mining software implementation must align planning assumptions, geology, fleet/production execution and enterprise data. Value depends on disciplined model governance and reconciliation between plan, dispatch/operations and actual production.

Why this matters: software selection is incomplete until the buyer can explain how the chosen solution will be configured, integrated, tested, cut over and supported. This framework is vendor-neutral; exact installation commands and sizing must come from the selected vendor and implementation partner.

1. Planning model discovery

Define planning horizons, constraints and authoritative datasets.

  • Map geological, block model, design, scheduling, fleet and production-data ownership.
  • Define short-, medium- and long-term planning responsibilities and handoffs.
  • Baseline reconciliation and plan-versus-actual metrics.

2. Technical configuration

Standardize model structures and planning rules.

  • Define coordinate systems, naming, calendars, equipment/resource constraints and scenario conventions.
  • Configure templates, design standards and approval/version controls.
  • Document computational assumptions and optimization objectives.

3. Data & integrations

Protect model integrity across systems.

  • Define geological/model, fleet management, survey, ERP, maintenance and reporting interfaces.
  • Set validation rules for spatial and production data.
  • Design lineage from source data through plan and published outputs.

4. Scenario validation

Prove planning behavior under realistic constraints.

  • Run baseline, constrained-resource, changed-price/grade and disruption scenarios.
  • Compare outputs against known/reference cases.
  • Validate repeatability and approval/version controls.

5. Operational handoff

Connect planning to execution.

  • Define how plans are published to operations and how actuals return.
  • Validate shift/daily/weekly reconciliation and exception ownership.
  • Avoid uncontrolled spreadsheet/file divergence.

6. Governance

Keep models trusted after go-live.

  • Control template and model changes.
  • Monitor data freshness and reconciliation gaps.
  • Schedule periodic model-quality and access reviews.

Configuration and architecture questions

Use these questions during discovery, solution design, vendor workshops and implementation governance. They are intended to expose hidden dependencies before they become change requests.

Model governance

  • What is the authoritative block/design/schedule model?
  • How are versions approved and archived?
  • Can a result be reproduced from stored inputs?

Constraints

  • How are equipment, geotechnical, material, stockpile and processing constraints represented?
  • Which constraints are hard vs soft?
  • Who approves changes?

Spatial data

  • How are coordinate systems and transformations controlled?
  • How are survey updates incorporated?
  • How are invalid geometries detected?

Plan vs actual

  • Which operational system supplies actuals?
  • At what frequency is reconciliation performed?
  • How are deviations classified and acted on?

Implementation acceptance tests

A demo can establish product potential; acceptance testing must prove the configured solution in the buyer's operating model. These scenarios should be adapted into formal UAT and operational-readiness evidence.

ScenarioWhat to proveEvidence to retain
Reference modelKnown dataset reproduces an accepted planning result within agreed tolerance.Inputs, software/version, parameters, result comparison and approval.
Constraint scenarioResource or operational constraint changes plan appropriately.Before/after plan, binding constraints and planner interpretation.
Data refreshUpdated survey/geology/production data flows through without breaking lineage.Load log, validation errors, version trace and reconciliation.
Plan-to-operationsPublished plan is received and interpreted correctly by downstream execution process/system.Published artifact/interface log and operational acknowledgement.

Implementation evidence pack

Before final acceptance, retain an auditable package covering the following artifacts.

Architecture & scope

  • Approved solution architecture
  • Environment and responsibility matrix
  • Licensed modules / edition scope
  • Security and identity design

Configuration & data

  • Configuration workbook and change history
  • Master-data ownership and migration mapping
  • Interface inventory and reconciliation rules
  • Known limitations and accepted design decisions

Testing & cut-over

  • UAT scenarios, defects and retest evidence
  • Performance/resilience/recovery results
  • Cut-over schedule and rollback criteria
  • Business continuity and manual fallback procedures

Operations

  • Monitoring and alert ownership
  • Backup/recovery and DR runbook
  • Support/escalation matrix and hypercare plan
  • Upgrade/patch governance and periodic access review