AI for Mine Planning and Scheduling

Use AI to improve mine planning and scheduling from life-of-mine to sh

Mine planning and scheduling span strategic (LOM), tactical, and short-interval control. AI enhances scenario generation, optimization, and what-if analysis while keeping geotech, safety, and regulatory constraints front-and-center.

Maximize value and adherence to constraints with faster, clearer plans and schedules that operators trust.

Block models, reserves, geotech, haul networks, equipment/productivity

Optimization/heuristics, simulation, ML for productivity/recovery, demand/price forecasts, constraint checks, explainers.

Planner UIs, scenario explorers, SICP dashboards, APIs to dispatch/ERP.

live demo · related simulation● LIVE

Plan for tariffs, emissions, water, and land constraints.

Implementation Blueprint

Foundation: Clean data/constraints, baselines, KPIs (NPV, compliance, adherence), governance and approvals.

Frequently asked questions

What is the role of AI in enforcing geotech constraints and exclusion zones?

Enforce geotech, exclusion zones, ESG limits; manual override.

How does AI help to explain the drivers behind scheduling decisions and demonstrate constraint adherence?

Explain drivers; show constraint adherence; keep change logs.

How does AI support the creation of audit-ready mine plans and documentation?

Audit-ready plans, approvals, and evidence for regulators/markets.

How does AI ensure scenario stability through backups, rollbacks, and continuous quality assurance?

Scenario backups; rollback; continuous QA of inputs.

▶ Try it live

Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Earthquake Wave Propagation Simulation simulation