The problem
Logistics networks and ports run on tight schedules that weather, congestion and closures can break within hours. Most plans assume normal conditions; the cost comes from reacting late.
What we model
- Berths, cranes, yards, gates and transport links, with their limits (for example, cranes stop above a wind threshold).
- Arrivals, dwell times, stock positions and onward connections.
- Disruptions: weather, closures, equipment and power failures, demand surges.
What you get
- A digital twin that shows today's state and tests "what if" before it happens.
- Early warning that flags unusual delays or patterns early.
- Robust plans for arrivals, stock and routing that hold across many possible futures.
- Structured shipping and customs documents through MaiMai.
Evidence behind the approach
Our stochastic optimization with genetic algorithms was built for multi-step supply chains across countries, currencies and risks, and our early warning method flagged an unusual spike weeks before official reports. Read the case.
Questions people ask
How can a port or logistics operator prepare for storms?
Combine forecasts with a model of the operation, such as cranes, berths, yard and gates, to see in advance which assets will stop or slow and by how much, then re-sequence arrivals, move stock or shift work before the event.