ESTIMATED TIME OF ARRIVAL
Optimisation of the port operations planning
Problem
Midterm planning is nearly impossible for the port operations as ETA predictions provided by the captain and port agent are short-term or unreliable. Liner schedules are failed short.
On the horizon of the five days, only half of the vessels will arrive at the port as per initial ETA on average.
Analysis conducted by the EU-funded Sea Traffic Management Validation project discovered that in 2017, container ships incurred 71,202 hours of idle time at Europe's
major ocean-going ports. This represents an annual loss of €100 million, just to the container sector alone.
Our Solution
We are using Machine Learning for the next port prediction and to calculate ETA based on the current location of the vessel, possible routes, en-route speed profile, weather and other factors.
Benefits
Charterers
Increased predictability of goods arrival and departures:
  • Cut down demurrage costs on WIBON clause in the agreements,
  • Better plan hinterland and transhipment logistics.
Terminals
Midterm planing of the terminal operations:
  • Allows to minimise planning time,
  • Increase berth and asset utilisation.

Port authorities
Lowering vessel turn-around times leads to:
  • Improved competitiveness versus another ports,
  • Less emission in port area.
Port activities, f.e. dredging, can be scheduled so that they brings minimal disruption to the ports' operations.
Pilots and tug owners
  • Maintenance of tugs and pilot boats can be planned off congestion-time,
  • Better personnel load planing.
Service
We provide subscription for the Software-as-a-Service based solution, that predicts ETA for any port and all larger commercial vessels (DWT > 20 000 MT) on the time horizon up to the five days. Service can be called many times per day and provides estimates in the machine-readable format for further processing on the customer's side.
Port agencies can provide additional input for the estimations.
Request Demo
Please contact our team for the demo.
Contacts
info@mariquant.net
Made on
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