CASE 02 · Logistics · Port Scheduling
Optimizing vessel schedules and logistics coordination for 30 million tonnes of annual bauxite movements
Integrated tides, weather, vessel arrivals, inventory, and berth constraints into a single optimization model, reducing manual scheduling time from 3–4 hours to 30 minutes.

Outcomes30 min
optimized schedule replacing hours of manual planning
Mathematical optimization and AI decision support replaced manual scheduling, enabling real-time scenario comparison and faster, more accurate operational decisions.
03 · Outcomes
- Delivered millions of dollars in operating cost savings through intelligent optimization
- Higher transport efficiency and supply-chain stability
OAT · NEXT STEP
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