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  4. Defining the quota of truck appointment systems
 
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Defining the quota of truck appointment systems

Citation Link: https://doi.org/10.15480/882.3148
Publikationstyp
Conference Paper
Date Issued
2020-09
Sprache
English
Author(s)
Lange, Ann-Kathrin  orcid-logo
Kreuz, Felix  
Langkau, Sven  
Jahn, Carlos  orcid-logo
Clausen, Uwe  
Herausgeber*innen
Jahn, Carlos  orcid-logo
Kersten, Wolfgang  orcid-logo
Ringle, Christian M.  orcid-logo
Institut
Maritime Logistik W-12  
TORE-DOI
10.15480/882.3148
TORE-URI
http://hdl.handle.net/11420/8053
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL)  
Number in series
30
Volume
30
Start Page
211
End Page
246
Citation
Hamburg International Conference of Logistics (HICL) 30 : 211-246 (2020)
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2020  
Publisher Link
https://www.epubli.de/shop/buch/Data-Science-in-Maritime-and-City-Logistics-Wolfgang-Kersten-9783753123479/106048
Publisher
epubli
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.
Subjects
Logistics
Industry 4.0
Supply Chain Management
Sustainability
City Logistics
Maritime Logistics
Data Science
DDC Class
620: Ingenieurwissenschaften
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-sa/4.0/
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