Konferenzbeitrag

Simulation-based optimization at container terminals: A literature review

Purpose: While simulation-based optimization has been discussed in theory and practically employed at container terminals, the different publications in this field have not yet been presented and compared in a structured manner. This paper gathers the latest developments and examine the similarities and differences of the provided approaches. Furthermore, research gaps are identified. Methodology: The recent literature of simulation-based optimization on container terminals is examined using a mapping review approach. Emphasis is laid on the covered problems, chosen meta-heuristics, and the shapes of the solution space. Findings: In the applied literature of container terminals genetic algorithms prevail, both for scheduling problems and for the determination of discrete and/or continuous parameters. Because of the no-free-lunch-theorem for optimization, it is open whether the chosen optimization approach serves the purpose best. Originality: To the best of our knowledge, the existing literature regarding simulation- based optimization at container terminals has never been addressed in a detailed overview. The elaborated comparison of the different publications leads to further research directions.

Sprache
Englisch

Erschienen in
10419/209197

Klassifikation
Management
Thema
Simulation-based optimization
Simulation-based optimisation
Container terminal
Maritime logistics

Ereignis
Geistige Schöpfung
(wer)
Kastner, Marvin
Pache, Hannah
Jahn, Carlos
Ereignis
Veröffentlichung
(wer)
epubli GmbH
(wo)
Berlin
(wann)
2019

DOI
doi:10.15480/882.2493
Handle
URN
urn:nbn:de:gbv:830-882.054664
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Kastner, Marvin
  • Pache, Hannah
  • Jahn, Carlos
  • epubli GmbH

Entstanden

  • 2019

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