• Media type: E-Article
  • Title: Defining the quota of truck appointment systems
  • Contributor: Lange, Ann-Kathrin [VerfasserIn]; Kreuz, Felix [VerfasserIn]; Langkau, Sven [VerfasserIn]; Jahn, Carlos [VerfasserIn]; Clausen, Uwe [VerfasserIn]
  • Corporation: Technische Universität Hamburg ; Technische Universität Hamburg, Institut für Maritime Logistik
  • imprint: 2020
  • Published in: Hamburg International Conference of Logistics (2020 : Hamburg; Internet): Data science in maritime and city logistics ; (2020), Seite 211-246
  • Language: English
  • DOI: 10.15480/882.3148
  • ISBN: 9783753123479
  • Identifier:
  • Keywords: Kongressbeitrag ; Aufsatz im Buch
  • Origination:
  • Footnote: Sonstige Körperschaft: Technische Universität Hamburg
    Sonstige Körperschaft: Technische Universität Hamburg, Institut für Maritime Logistik
  • Description: Purpose: Truck appointment systems (TAS) are a widely used method to alleviate peaks in truck arrivals at container terminals in seaports and in the hinterland. One big advantage is the opportunity to reduce operation costs for the terminals and the truck queue length in front of the terminal gate. This study aims to analyze and classify different approaches used in science and industry to determine the quota of allowed trucks per time window. Methodology: A comprehensive systematic literature analysis is applied to identify the different approaches to determine the quota of time windows in science and in industry. Findings: The results of the study show that many approaches have been based on experience and are mostly used to improve individual terminals rather than the port as a whole. Methods used to improve and analyze interrelationships are mainly methods of mathematical optimization and simulation. Originality: The question under consideration was mostly only marginally considered in existing investigations, even though it has a major impact on the success of a TAS. Furthermore, only individual solutions have been examined so far and not the suitability of the approaches compared.
  • Access State: Open Access
  • Rights information: Attribution - Share Alike (CC BY-SA)