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  4. The effects of pre-arrival vessel prioritisation strategies for port call coordination
 
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The effects of pre-arrival vessel prioritisation strategies for port call coordination

Citation Link: https://doi.org/10.15480/882.16191
Publikationstyp
Conference Paper
Date Issued
2025-10-21
Sprache
English
Author(s)
Oberhauser Tavares Braga, João Pedro  orcid-logo
Maritime Logistik W-12  
Kastner, Marvin  orcid-logo
Maritime Logistik W-12  
Derin, Yasemin  orcid-logo
Maritime Logistik W-12  
Jahn, Carlos  orcid-logo
Maritime Logistik W-12  
TORE-DOI
10.15480/882.16191
TORE-URI
https://hdl.handle.net/11420/58918
Lizenz
https://creativecommons.org/licenses/by/4.0/
Citation
21. ASIM-Fachtagung Simulation in Produktion und Logistik 2025
Contribution to Conference
21. ASIM-Fachtagung Simulation in Produktion und Logistik 2025  
Publisher DOI
10.25368/2025.286
Publisher
Technische Universität Dresden, Professur für Technische Logistik
ISBN of container
978-3-86780-806-4
This simulation study investigates the impacts of pre-arrival vessel prioritization strategies on port call coordination using a simulation model that integrates discrete-event and agent-based techniques. Motivated by the environmental and operational inefficiencies of the traditional first-come-first-served (FCFS) port policies, the simulation assesses how early and structured communication of arrival intentions, as first-announced-first-served (FAFS), can enhance berth allocation, improve resource utilization in the port, and reduce ship emissions. The model replicates a real port environment using empirical data and Python-based libraries evaluating multiple prioritization strategies under varying timing rules for port call announcements. Results demonstrate that structured pre-arrival announcements improve turnaround times and berth occupancy, particularly under strategies setting upper timing limits. However, results vary by terminal type and installed capacity. The findings underscore the need for improved digital infrastructure and cooperative governance to enable Just-in-Time (JIT) arrivals, highlighting the potential for simulation to support decision-making in port operations modernization.
Subjects
Simulation
Artificial Intelligence
Modelling
Optimisation
prioritization strategies
simulation model
DDC Class
388: Transportation
519: Applied Mathematics, Probabilities
658.5: Of Production
Funding(s)
Dynamic navigation and port call optimisation in real time  
Publication version
publishedVersion
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