Port-Call-Data-Hub

Port-Call Processes at the Port of Rotterdam

The Port-Call Data-Hub Optimization Project is a collaborative initiative aimed at connecting industry practitioners and academic researchers to advance data-driven innovation in port logistics. Below, we present a visual overview of the Port-Call Processes at the Port of Rotterdam.

Hover a step for details. Click a main step to show its subprocesses below.

Click on the push button to acces an in-depth description of the process and available data.

Figure
  • Pre-Arrival
  • Port Arrival
  • Anchoring
  • Port Maneuvering
  • Berth Visit
  • Terminal Operations
  • Customs
  • Hinterland Transport

Port-Call Optimization Research for Maritime Logistics

This project identifies, classifies, and illustrates key optimization problems in port-call operations, providing benchmark data to support research and innovation in maritime logistics.

Click any card below for an in-depth description and access available data sets.

Berth Allocation
Optimization ProblemAssign vessels to berths, balancing berth utilization, vessel priorities, and time windows.
Quay-Crane Scheduling
Optimization ProblemDetermine the optimal sequence of crane moves per vessel bay while respecting crane interference.
Yard-Crane Scheduling
Optimization ProblemAllocate yard cranes to stacks, while minimizing rehandles & crane idle times.
Truck Appointment Scheduling
Optimization ProblemOptimize the booking of time slots for inbound and outbound trucks while leveling arrivals to avoid gate bottlenecks.
Tug & Pilot Assignment
Optimization ProblemAssign tugs and pilots to vessels while scheduling routes to minimize idle steaming time.
Yard-Vehicle Routing
Optimization ProblemOptimize the path for straddles and tractors to avoid conflicts and minimize empty runs.

Citation & Attribution Guidelines ▾

This Data-Hub represents a joint effort between the AI Port Center, industrial stakeholders, and academic collaborators. We warmly encourage both practitioners and researchers to use and reference this resource in their own work.

BibTeX Reference

@misc{aiport_datahub_portcall_2025, author = {Campuzano, Giovanni and Wenzel, Peter and Schulte, Frederik}, title = {AI Port Data-Hub: Port-Call Optimization Problem Instances and Data}, year = {2025}, howpublished = {\url{https://aiportcenter.nl/index.php/port-call/}}, note = {Joint effort of the AI Port Center, industry stakeholders, and academic partners. Accessed: 2025-10-15} }
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