AI-assisted Optimisation & Decision Making
AI-assisted Optimisation applies machine intelligence to complex mining decisions—ranging from production scheduling and load management to operational parameter tuning.
Our work focuses on interpretable, constraint-aware optimisation models that combine machine learning with engineering principles to deliver actionable recommendations rather than opaque outputs.
Through human-in-the-loop interfaces, these systems support engineers and operators with real-time insights, adaptive planning tools and explainable decision pathways that enhance safety, efficiency and productivity.
Interpretable Optimisation Models
Constraint-aware models combining ML and engineering rules for transparent, actionable outputs.
Real-time Decision Support
Live insights assisting operators with scheduling, load balance and operational adjustments.
Human-in-the-loop Systems
Interactive interfaces enabling engineers to validate, refine and guide AI-generated recommendations.
Adaptive Planning & Scenario Analysis
Dynamic optimisation under changing geological, operational and safety conditions.
