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: |
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: |
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: |
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: |
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: |
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: |
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: |
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: |
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: |
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: |
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: |
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: |
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