Marvin Kastner, M.Sc.
Adresse
Technische Universität Hamburg
Institut für Maritime Logistik
Am Schwarzenberg-Campus 4 (D)
21073 Hamburg
Kontaktdaten & Profile
Büro: Gebäude D Raum 5.007
Tel.: +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
Forschungsschwerpunkte
- simulationsgestütztes Planen von Container-Terminals
- Optimierung der Ablaufplanung im Yard von Container-Terminals
- technologiegestützte Verbesserung der maritimen Sicherheit
- Maschinelles Lernen in der maritimen Logistik
- Optimierung multivariater Black-box Funktionen
Vorträge und Workshops (Auszug)
- 26.09.2024 ein Vortrag auf der Hamburg International Conference of Logistics (HICL): "Hinterland rail connectivity of seaport container terminals" mit den Koautoren Owais Ahmed Shaikh, Yasser Shaikh und Anish Sundar Gowthaman
- 06.05.2024 ein Workshop an der Graduiertenakademie der TUHH: "Einführung in Jupyter Notebooks" [mehr]
- 25.01.2023 ein Vortrag auf dem 7. Suderburger Logistik-Forum: "KI-unterstützte Planung von Güterumschlaganlagen am Beispiel von Containerterminals"
- 15.09.2022 ein Vortrag bei den MLE-Days 2022: "Synthetische Daten für das Reinforcement-Learning bei Container-Terminal-Steuerungen"
- 28.06.2022 ein Workshop an der Graduiertenakademie der TUHH: "Einführung in Jupyter Notebooks" [mehr]
- 02.07.2021 ein Workshop bei den MLE-Days 2021: "Methoden des Maschinellen Lernens in der Maritimen Logistik" [zip]
- 16.03.2021 ein Workshop an der Graduiertenakademie der TUHH: "Einführung in Jupyter Notebooks" [mehr]
- 30.11.2020 im Rahmen der Vortragsreihe "Train Your Engineering Network" der MLE-Initiative: "How to Talk About Machine Learning with Jupyter Notebooks" [mehr]
- 22.11.2019 auf der DISRUPT NOW! AI for Hamburg: "Künstliche Intelligenz in der maritimen Wirtschaft" [mehr]
- 29.10.2019 im Rahmen der forschungsbörse: "Maritime Logistik - Ein Rundumschlag" [mehr]
- 23.10.2019 bei der Open Access Week 2019 an der TUHH: "Datenanalyse - Offener Workshop: Daten auswerten und visualisieren mit Jupyter Notebooks" [mehr] [git]
- 16.11.2018 beim GI DevCamp Hamburg: "Mobility Research and GDPR"
- 27.09.2018 beim SGKV AK zum Thema Lkw-Ankünfte: "Prognoseverfahren und neuronale Netze – Was ist möglich?"
Veröffentlichungen (Auszug)
2024
| [182405] |
| Title: Equipment selection and layout planning – literature overview and research directions. <em>Data science and innovation in supply chain management : how data transforms the value chain // Proceedings of the Hamburg International Conference of Logistics (HICL) / Data Science in Maritime and City Logistics</em> |
| Written by: Kastner, Marvin and Kämmerling, Nicolas and Jahn, Carlos and Clausen, Uwe |
| in: (2020). |
| Volume: <strong>30</strong>. Number: |
| on pages: 485–519 |
| Chapter: |
| Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.) |
| Publisher: epubli: |
| Series: Proceedings of the Hamburg International Conference of Logistics (HICL) |
| Address: Berlin |
| Edition: |
| ISBN: 978-3-753123-47-9 |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: 10.15480/882.3147 |
| URL: |
| ARXIVID: |
| PMID: |
Note:
Abstract: Purpose: When container terminals are planned or converted, among others the most suitable container handling system needs to be selected and the appropriate terminal layout needs to be designed. These two planning activities are mutually de-pendent and affect the costs and future operational performance. This leads to the question of how to arrive at a (near-)optimal solution for given criteria. Methodology: A mapping review is conducted to investigate how the container han-dling system is selected and how the terminal layout is designed. Literature is exam-ined regarding the employed methodology, the performance indicator(s) to opti-mize, and the way terminal layout and equipment selection have been jointly con-sidered. Findings: Various methods have been used to assess a suitable container handling system and the appropriate layout. Commonly, mathematical optimization is used to arrive at a suggestion and simulation is the tool to evaluate proposed decisions. Aspects such as handling costs, travel distances, or ecological factors are sought to be optimized. Originality: Several literature reviews in the past years investigated approaches to the plethora of scheduling problems at container terminals. Here, the two strategic planning activities equipment selection and layout planning are presented in detail. This publication focuses on how the dependency of the two activities has been han-dled in literature
2023
| [182405] |
| Title: Equipment selection and layout planning – literature overview and research directions. <em>Data science and innovation in supply chain management : how data transforms the value chain // Proceedings of the Hamburg International Conference of Logistics (HICL) / Data Science in Maritime and City Logistics</em> |
| Written by: Kastner, Marvin and Kämmerling, Nicolas and Jahn, Carlos and Clausen, Uwe |
| in: (2020). |
| Volume: <strong>30</strong>. Number: |
| on pages: 485–519 |
| Chapter: |
| Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.) |
| Publisher: epubli: |
| Series: Proceedings of the Hamburg International Conference of Logistics (HICL) |
| Address: Berlin |
| Edition: |
| ISBN: 978-3-753123-47-9 |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: 10.15480/882.3147 |
| URL: |
| ARXIVID: |
| PMID: |
Note:
Abstract: Purpose: When container terminals are planned or converted, among others the most suitable container handling system needs to be selected and the appropriate terminal layout needs to be designed. These two planning activities are mutually de-pendent and affect the costs and future operational performance. This leads to the question of how to arrive at a (near-)optimal solution for given criteria. Methodology: A mapping review is conducted to investigate how the container han-dling system is selected and how the terminal layout is designed. Literature is exam-ined regarding the employed methodology, the performance indicator(s) to opti-mize, and the way terminal layout and equipment selection have been jointly con-sidered. Findings: Various methods have been used to assess a suitable container handling system and the appropriate layout. Commonly, mathematical optimization is used to arrive at a suggestion and simulation is the tool to evaluate proposed decisions. Aspects such as handling costs, travel distances, or ecological factors are sought to be optimized. Originality: Several literature reviews in the past years investigated approaches to the plethora of scheduling problems at container terminals. Here, the two strategic planning activities equipment selection and layout planning are presented in detail. This publication focuses on how the dependency of the two activities has been han-dled in literature
2022
| [182405] |
| Title: Equipment selection and layout planning – literature overview and research directions. <em>Data science and innovation in supply chain management : how data transforms the value chain // Proceedings of the Hamburg International Conference of Logistics (HICL) / Data Science in Maritime and City Logistics</em> |
| Written by: Kastner, Marvin and Kämmerling, Nicolas and Jahn, Carlos and Clausen, Uwe |
| in: (2020). |
| Volume: <strong>30</strong>. Number: |
| on pages: 485–519 |
| Chapter: |
| Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.) |
| Publisher: epubli: |
| Series: Proceedings of the Hamburg International Conference of Logistics (HICL) |
| Address: Berlin |
| Edition: |
| ISBN: 978-3-753123-47-9 |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: 10.15480/882.3147 |
| URL: |
| ARXIVID: |
| PMID: |
Note:
Abstract: Purpose: When container terminals are planned or converted, among others the most suitable container handling system needs to be selected and the appropriate terminal layout needs to be designed. These two planning activities are mutually de-pendent and affect the costs and future operational performance. This leads to the question of how to arrive at a (near-)optimal solution for given criteria. Methodology: A mapping review is conducted to investigate how the container han-dling system is selected and how the terminal layout is designed. Literature is exam-ined regarding the employed methodology, the performance indicator(s) to opti-mize, and the way terminal layout and equipment selection have been jointly con-sidered. Findings: Various methods have been used to assess a suitable container handling system and the appropriate layout. Commonly, mathematical optimization is used to arrive at a suggestion and simulation is the tool to evaluate proposed decisions. Aspects such as handling costs, travel distances, or ecological factors are sought to be optimized. Originality: Several literature reviews in the past years investigated approaches to the plethora of scheduling problems at container terminals. Here, the two strategic planning activities equipment selection and layout planning are presented in detail. This publication focuses on how the dependency of the two activities has been han-dled in literature
2021
| [182405] |
| Title: Equipment selection and layout planning – literature overview and research directions. <em>Data science and innovation in supply chain management : how data transforms the value chain // Proceedings of the Hamburg International Conference of Logistics (HICL) / Data Science in Maritime and City Logistics</em> |
| Written by: Kastner, Marvin and Kämmerling, Nicolas and Jahn, Carlos and Clausen, Uwe |
| in: (2020). |
| Volume: <strong>30</strong>. Number: |
| on pages: 485–519 |
| Chapter: |
| Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.) |
| Publisher: epubli: |
| Series: Proceedings of the Hamburg International Conference of Logistics (HICL) |
| Address: Berlin |
| Edition: |
| ISBN: 978-3-753123-47-9 |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: 10.15480/882.3147 |
| URL: |
| ARXIVID: |
| PMID: |
Note:
Abstract: Purpose: When container terminals are planned or converted, among others the most suitable container handling system needs to be selected and the appropriate terminal layout needs to be designed. These two planning activities are mutually de-pendent and affect the costs and future operational performance. This leads to the question of how to arrive at a (near-)optimal solution for given criteria. Methodology: A mapping review is conducted to investigate how the container han-dling system is selected and how the terminal layout is designed. Literature is exam-ined regarding the employed methodology, the performance indicator(s) to opti-mize, and the way terminal layout and equipment selection have been jointly con-sidered. Findings: Various methods have been used to assess a suitable container handling system and the appropriate layout. Commonly, mathematical optimization is used to arrive at a suggestion and simulation is the tool to evaluate proposed decisions. Aspects such as handling costs, travel distances, or ecological factors are sought to be optimized. Originality: Several literature reviews in the past years investigated approaches to the plethora of scheduling problems at container terminals. Here, the two strategic planning activities equipment selection and layout planning are presented in detail. This publication focuses on how the dependency of the two activities has been han-dled in literature
2020
| [182405] |
| Title: Equipment selection and layout planning – literature overview and research directions. <em>Data science and innovation in supply chain management : how data transforms the value chain // Proceedings of the Hamburg International Conference of Logistics (HICL) / Data Science in Maritime and City Logistics</em> |
| Written by: Kastner, Marvin and Kämmerling, Nicolas and Jahn, Carlos and Clausen, Uwe |
| in: (2020). |
| Volume: <strong>30</strong>. Number: |
| on pages: 485–519 |
| Chapter: |
| Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.) |
| Publisher: epubli: |
| Series: Proceedings of the Hamburg International Conference of Logistics (HICL) |
| Address: Berlin |
| Edition: |
| ISBN: 978-3-753123-47-9 |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: 10.15480/882.3147 |
| URL: |
| ARXIVID: |
| PMID: |
Note:
Abstract: Purpose: When container terminals are planned or converted, among others the most suitable container handling system needs to be selected and the appropriate terminal layout needs to be designed. These two planning activities are mutually de-pendent and affect the costs and future operational performance. This leads to the question of how to arrive at a (near-)optimal solution for given criteria. Methodology: A mapping review is conducted to investigate how the container han-dling system is selected and how the terminal layout is designed. Literature is exam-ined regarding the employed methodology, the performance indicator(s) to opti-mize, and the way terminal layout and equipment selection have been jointly con-sidered. Findings: Various methods have been used to assess a suitable container handling system and the appropriate layout. Commonly, mathematical optimization is used to arrive at a suggestion and simulation is the tool to evaluate proposed decisions. Aspects such as handling costs, travel distances, or ecological factors are sought to be optimized. Originality: Several literature reviews in the past years investigated approaches to the plethora of scheduling problems at container terminals. Here, the two strategic planning activities equipment selection and layout planning are presented in detail. This publication focuses on how the dependency of the two activities has been han-dled in literature
2019
| [182405] |
| Title: Equipment selection and layout planning – literature overview and research directions. <em>Data science and innovation in supply chain management : how data transforms the value chain // Proceedings of the Hamburg International Conference of Logistics (HICL) / Data Science in Maritime and City Logistics</em> |
| Written by: Kastner, Marvin and Kämmerling, Nicolas and Jahn, Carlos and Clausen, Uwe |
| in: (2020). |
| Volume: <strong>30</strong>. Number: |
| on pages: 485–519 |
| Chapter: |
| Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.) |
| Publisher: epubli: |
| Series: Proceedings of the Hamburg International Conference of Logistics (HICL) |
| Address: Berlin |
| Edition: |
| ISBN: 978-3-753123-47-9 |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: 10.15480/882.3147 |
| URL: |
| ARXIVID: |
| PMID: |
Note:
Abstract: Purpose: When container terminals are planned or converted, among others the most suitable container handling system needs to be selected and the appropriate terminal layout needs to be designed. These two planning activities are mutually de-pendent and affect the costs and future operational performance. This leads to the question of how to arrive at a (near-)optimal solution for given criteria. Methodology: A mapping review is conducted to investigate how the container han-dling system is selected and how the terminal layout is designed. Literature is exam-ined regarding the employed methodology, the performance indicator(s) to opti-mize, and the way terminal layout and equipment selection have been jointly con-sidered. Findings: Various methods have been used to assess a suitable container handling system and the appropriate layout. Commonly, mathematical optimization is used to arrive at a suggestion and simulation is the tool to evaluate proposed decisions. Aspects such as handling costs, travel distances, or ecological factors are sought to be optimized. Originality: Several literature reviews in the past years investigated approaches to the plethora of scheduling problems at container terminals. Here, the two strategic planning activities equipment selection and layout planning are presented in detail. This publication focuses on how the dependency of the two activities has been han-dled in literature