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

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2023

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2022

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2021

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2020

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2019

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2018

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2017

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2016

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2015

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2014

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future

2013

[182410]
Title: Assessing performance of container slot allocation heuristics. <em>Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability</em>
Written by: Kastner, Marvin and Peters, Malte and Jahn, Carlos
in: (2021).
Volume: Number:
on pages: 427-454
Chapter:
Editor: In Ringle, Christian M. and Kersten, Wolfgang and Jahn, Carlos (Eds.)
Publisher:
Series:
Address:
Edition:
ISBN: 9783754927717
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.4003
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: Purpose: In the last decades, the transport capacities of container vessels have tremendously increased. This leads to longer berth times and greater peak loads at container terminals, especially when schedules are perturbed. Thus, existing container handling processes need to be re-evaluated regarding their adequacy. Methodology: In the first step, the current literature is reviewed: which methods have been used for container slot allocation? In the second step, a simulation study is set up to compare two rule-based heuristics of Güven and Türsel Eliiyi (2014; 2019) with Levelling Stacking and Random Stacking. Findings: It is shown that the two rule-based heuristics of Güven and Türsel Eliiyi lead to shorter berth times than Levelling Stacking or Random Stacking. At the same time, the last two approaches show a clear superiority in workload balancing. The joint storage of container groups at Güven and Türsel Eliiyi leads to congestion at the stacking cranes in both cases for peak loads. Originality: This study is the first to compare these four stacking policies. For generating realistic container flows, data from an existing container terminal have been used. Previously unreported performance indicators are used for comparison. Thus, this study provides new insights for improved rule-based heuristics in future