Agent-based support for container terminals to make appointments with barges

Martijn Mes, Albert Douma

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

6 Citations (Scopus)
7 Downloads (Pure)


We consider a container terminal that has to make appointments with barges dynamically with only limited knowledge about future arriving barges, and in the view of uncertainty and disturbances. We study this problem using a case study at the Port of Rotterdam, considering a proposed multi-agent system for aligning barge rotations and terminal quay schedules. We take the perspective of a single terminal participating in this system and focus on the decision making capabilities of its intelligent agent. Using simulation, with input settings based on characteristics of the larger terminals within the Port of Rotterdam, we analyze the benefits of our approach. We conclude that a terminal can increase its utilization significantly by using various sources of flexibility in the operational planning
Original languageEnglish
Title of host publicationComputational Logistics
Subtitle of host publication7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings
EditorsAna Paias, Mario Ruthmair, Stefan Voß
Place of PublicationCham
ISBN (Electronic)978-3-319-44896-1
ISBN (Print)978-3-319-44896-1
Publication statusPublished - 7 Sept 2016
Event7th International Conference on Computational Logistics, ICCL 2016 - Lisbon, Portugal
Duration: 7 Sept 20169 Sept 2016
Conference number: 7

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference7th International Conference on Computational Logistics, ICCL 2016
Abbreviated titleICCL


  • METIS-318329
  • IR-101810


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