Ann-Kathrin Lange, M.Sc.


Technische Universität Hamburg
Institut für Maritime Logistik
Am Schwarzenberg-Campus 4 (D)
21073 Hamburg



Büro: Gebäude D Raum 5.007
Tel.: +49 40 42878 4694
E-Mail: ann-kathrin.lange(at)
ORCiD: 0000-0002-1503-1729


  • Hafeninterne Containertransporte und Hinterlandtransporte
  • Binnen- und Seehafen-Containerterminals
  • Truck Appointment Systeme
  • Ereignisorientierte Simulation
  • Geschäftsprozessmodellierung und -optimierung

Veröffentlichungen (Auszug)

Title: Influence of Drayage Patterns on Truck Appointment Systems Proceedings of the Hamburg International Conference of Logistics (HICL)/ Logistics 4.0 and Sustainable Supply Chain Management
Written by: Lange, Ann-Kathrin and Kühl, Kristof Ole and Schwientek, Anne K. and Jahn, Carlos
in: HICL 2018 2018
Volume: Number:
on pages:
Editor: Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M.
Publisher: epubli
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
ISBN: 978-3-746765-36-5
how published:



Abstract: Truck appointment systems (TAS) are a well-recognized method to smooth the peaks in truck arrivals at seaport container terminals and thereby reduce operation costs for the terminals and waiting times for trucking companies. This study analyzes the influence of different drayage patterns on the success of a TAS at seaport container terminals by means of a discrete event simulation model. These drayage patterns vary in the percentages of transports between container terminals and container terminals and other logistics nodes. Past studies mainly focus on the general impact of TAS on container terminals or on trucking companies. Rarely different TAS' characteristics are analyzed regarding their impact on the performance. To the authors' knowledge, the influence of varying shares of different drayage origins and destinations have not been studied so far. The results show that the pattern of drayage transports has a considerable influence on the success of TAS. As the transport from terminals to logistics nodes and vice versa is bound to the opening hours of the logistics nodes, trucking companies often need to execute inter terminal transports at night.