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Conference object . 2020
License: CC BY SA
Data sources: Datacite
TUHH Open Research (TORE)
Conference object . 2020
License: CC BY SA
EconStor
Conference object . 2020
License: CC BY SA
Data sources: EconStor
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Defining the quota of truck appointment systems

Authors: Lange, Ann-Kathrin; Kreuz, Felix; Langkau, Sven; Jahn, Carlos; Clausen, Uwe;

Defining the quota of truck appointment systems

Abstract

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.

Country
Germany
Keywords

Ingenieurwissenschaften, Sustainability, ddc:650, Maritime Logistics, Data Science, Supply Chain Management, City Logistics, Logistics, Industry 4.0

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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