Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/209393 
Erscheinungsjahr: 
2019
Quellenangabe: 
[Editor:] Jahn, Carlos [Editor:] Kersten, Wolfgang [Editor:] Ringle, Christian M. [Title:] Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 28 [ISBN:] 978-3-7502-4949-3 [Publisher:] epubli GmbH [Place:] Berlin [Year:] 2019 [Pages:] 186-214
Verlag: 
epubli GmbH, Berlin
Zusammenfassung: 
Purpose: Automobile terminals play an essential role in automotive supply chains. Due to short planning cycles and volatile planning information, the yard assignment determines terminals performance. Existing planning approaches are not able to cope with these dynamics. This contribution proposes a novel bio-analogue autonomous control method to face these dynamics, its effects and to improve the terminals performance. Methodology: Causes of internal and external terminals dynamics will be discussed and an autonomous control method will be derived. A generic 185arameterizable automobile terminal model and its implementation to a discrete event simulation will be introduced in this paper. This simulation is used to compare the new approach to classical yard assignment. Findings: This paper contributes to the theoretical understanding of causes and effects of dynamics in the context of automobile terminals. It will show that autonomous control outperforms classical approaches under highly dynamic conditions. Originality: The generic modelling approach is a novel description of automobile terminals. It allows investigations of a broad spectrum of use cases. Moreover, the bio-analogue autonomous control for automobile terminals is an innovative approach.
Schlagwörter: 
Automobile logistics
Port terminal
Autonomous control
Discrete event simulation
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by-sa Logo
Dokumentart: 
Conference Paper

Datei(en):
Datei
Größe





Publikationen in EconStor sind urheberrechtlich geschützt.