Marvin Kastner, M.Sc.
Address
Hamburg University of Technology
Institute of Maritime Logistics
Am Schwarzenberg-Campus 4 (D)
21073 Hamburg
Contact Details & Profiles
Office: building D room 5.007
Phone: +49 40 42878 4793
E-mail: marvin.kastner(at)tuhh(dot)de
ORCiD: 0000-0001-8289-2943
LinkedIn: https://www.linkedin.com/in/marvin-kastner/
ResearchGate: https://www.researchgate.net/profile/Marvin-Kastner
Google scholar: https://scholar.google.de/citations?user=lAR-oVAAAAAJ&hl=de&oi=ao
Scopus: https://www.scopus.com/authid/detail.uri?authorId=57221938031
Research Focus
- Simulation-based Design of Container Terminals
- Optimization of Yard Operations at Container Terminals
- Data-driven Improvement of Maritime Security
- Machine Learning in Maritime Logistic
- Optimization of Multivariate Black-box Functions
Presentations and workshops (Excerpt)
- 25.01.2023 a talk at the 7. Suderburger Logistics Forum: "AI-assisted planning of cargo handling facilities with the example of container terminals" (title translated)
- 15.09.2022 a talk at the MLE-Days 2022: "Synthetic data for reinforcement learning in container terminal control systems."
- 28.06.2022 a workshop at the Graduate Academy of TUHH: "Introduction to Jupyter Notebooks" (title translated) [more]
- 02.07.2021 a workshop at the MLE-Days 2021: "Machine Learning in Maritime Logistics" (title translated) [zip]
- 16.03.2021 a workshop at the Graduate Academy of TUHH: "Introduction to Jupyter Notebooks" (title translated) [more]
- 30.11.2020 in the lecture series "Train Your Engineering Network" of the MLE initiative: "How to Talk About Machine Learning with Jupyter Notebooks"
- 22.11.2019 at DISRUPT NOW! AI for Hamburg: "Artificial Intelligence in Maritime Economy" (title translated) [more]
- 29.10.2019 in the context of forschungsbörse: "Maritime Logistics - an all-round cover" (title translated) [more]
- 23.10.2019 at the Open Access Week 2019 at TUHH: "Data Analysis - Describe and Visualize Data with Jupyter Notebooks" (title translated) [more] [git]
- 16.11.2018 at the GI DevCamp Hamburg: "Mobility Research and GDPR"
- 27.09.2018 at SGKV WG regarding truck arrivals: "Forecasting and Neural Networks – What is possible?" (title translated)
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