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.

A large container vessel underway
Outcomes30 min

optimized schedule replacing hours of manual planning

01Business challenge

Up to 10 large vessels move through the port each day, making scheduling decisions critical as delays can create AUD 100,000 in daily demurrage exposure.

02OAT solution

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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