Prof. Dr.-Ing. Carlos Jahn

Address

Hamburg University of Technology
Institute of Maritime Logistics
Am Schwarzenberg-Campus 4 (D)
21073 Hamburg

 

Contact Details

Office: building D room 5.002a
Registration via Ms. Beckmann (Room 5.003)
Phone: +49 40 42878 4450
Fax: +49 40 42731 4478
E-mail: carlos.jahn(at)tuhh(dot)de
ORCiD: 0000-0002-5409-0748



Publications (excerpt)

2024

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2023

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2022

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2021

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2020

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2019

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2018

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2017

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2016

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2015

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2014

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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

2013

[182409]
Title: Simulation-based optimization at container terminals: a literature review. <em>Digital transformation in maritime and city logistics</em>
Written by: Kastner, Marvin and Pache, Hannah and Jahn, Carlos
in: <em>HICL 2019</em>. (2019).
Volume: Number:
on pages: 111-135
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.2493
URL: http://hdl.handle.net/11420/3770
ARXIVID:
PMID:

[pdf] [www]

Note:

Abstract: 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