Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.3148
Publisher URL: https://www.epubli.de/shop/buch/Data-Science-in-Maritime-and-City-Logistics-Wolfgang-Kersten-9783753123479/106048
Title: Defining the quota of truck appointment systems
Language: English
Authors: Lange, Ann-Kathrin  
Kreuz, Felix 
Langkau, Sven 
Jahn, Carlos 
Clausen, Uwe 
Editor: Jahn, Carlos 
Kersten, Wolfgang  
Ringle, Christian M.  
Keywords: Logistics;Industry 4.0;Supply Chain Management;Sustainability;City Logistics;Maritime Logistics;Data Science
Issue Date: Sep-2020
Publisher: epubli
Source: Hamburg International Conference of Logistics (HICL) 30 : 211-246 (2020)
Part of Series: Proceedings of the Hamburg International Conference of Logistics (HICL) 
Volume number: 30
Abstract (english): 
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 clas-sify different approaches used in science and industry to determine the quota of al-lowed 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 consid-ered 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.
Conference: Hamburg International Conference of Logistics (HICL) 2020 
URI: http://hdl.handle.net/11420/8053
DOI: 10.15480/882.3148
ISBN: 978-3-753123-47-9
ISSN: 2365-5070
Institute: Maritime Logistik W-12 
Document Type: Chapter/Article (Proceedings)
License: CC BY-SA 4.0 (Attribution-ShareAlike 4.0) CC BY-SA 4.0 (Attribution-ShareAlike 4.0)
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