Ole Grasse, M.Sc.

Adresse

Technische Universität Hamburg
Institut für Maritime Logistik
Am Schwarzenberg-Campus 4 (D)
21073 Hamburg

 

Kontaktdaten

Büro: Gebäude D Raum 5.004
Tel.: +49 40 42878 4009
E-Mail: ole.grasse(at)tuhh(dot)de
ORCiD: 0000-0003-1982-9436



Forschungsschwerpunkte

  • Innovationen und Digitalisierung im Hafen
  • Hafeninterner Transport
  • Entwicklung und Digitalisierung der maritimen Lehre


Veröffentlichungen (Auszug)

2024

[182970]
Title: Synthetically generating traffic scenarios for simulation-based container terminal planning.
Written by: Kastner, Marvin and Grasse, Ole
in: <em>PIANC Yearbook 2023</em>. (2024).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
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Institution:
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DOI:
URL: https://pianc.app.box.com/s/vhe61hcxttpakyihjda76pk552itajmc
ARXIVID:
PMID:

[pdf] [www]

Note: conflowgen

Abstract: More than 80 percent of world trade is delivered via sea, making the maritime supply chain a very important backbone for the economy (UNCTAD 2020). Containerized trade regularly outperforms other types of transport in terms of growth, coinciding with consistent increases of average container vessel sizes (UNCTAD 2020). Container terminal operations are heavily affected by this development, since less but larger port calls create unwanted peaks and stress on the terminals and the hinterland. Not all container terminals are affected equally by the described situation. Economic cycles and events such as the global COVID-19 pandemic or the Russian war in Ukraine change the global supply chains, trade characteristics and transport demands between ports in the world. In 2004, Hartmann proposed an approach to create scenarios for simulation and optimization in the sense of container terminal planning and logistics. Due to the significant changes in maritime trade over the years, a new approach for generating synthetic container flow data became practical. In 2021, we introduced a rethought and reworked approach on this topic.The proposed tool, named ConFlowGen, aims to assist planners, scientists, and other maritime experts with providing comprehensive container flow scenarios based on minimal inputs and assumptions of the user. In this paper, we introduce ConFlowGen`s general principle of operation in an exemplary use case in the context of container terminal planning.

2023

[182970]
Title: Synthetically generating traffic scenarios for simulation-based container terminal planning.
Written by: Kastner, Marvin and Grasse, Ole
in: <em>PIANC Yearbook 2023</em>. (2024).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: https://pianc.app.box.com/s/vhe61hcxttpakyihjda76pk552itajmc
ARXIVID:
PMID:

[pdf] [www]

Note: conflowgen

Abstract: More than 80 percent of world trade is delivered via sea, making the maritime supply chain a very important backbone for the economy (UNCTAD 2020). Containerized trade regularly outperforms other types of transport in terms of growth, coinciding with consistent increases of average container vessel sizes (UNCTAD 2020). Container terminal operations are heavily affected by this development, since less but larger port calls create unwanted peaks and stress on the terminals and the hinterland. Not all container terminals are affected equally by the described situation. Economic cycles and events such as the global COVID-19 pandemic or the Russian war in Ukraine change the global supply chains, trade characteristics and transport demands between ports in the world. In 2004, Hartmann proposed an approach to create scenarios for simulation and optimization in the sense of container terminal planning and logistics. Due to the significant changes in maritime trade over the years, a new approach for generating synthetic container flow data became practical. In 2021, we introduced a rethought and reworked approach on this topic.The proposed tool, named ConFlowGen, aims to assist planners, scientists, and other maritime experts with providing comprehensive container flow scenarios based on minimal inputs and assumptions of the user. In this paper, we introduce ConFlowGen`s general principle of operation in an exemplary use case in the context of container terminal planning.

2022

[182970]
Title: Synthetically generating traffic scenarios for simulation-based container terminal planning.
Written by: Kastner, Marvin and Grasse, Ole
in: <em>PIANC Yearbook 2023</em>. (2024).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: https://pianc.app.box.com/s/vhe61hcxttpakyihjda76pk552itajmc
ARXIVID:
PMID:

[pdf] [www]

Note: conflowgen

Abstract: More than 80 percent of world trade is delivered via sea, making the maritime supply chain a very important backbone for the economy (UNCTAD 2020). Containerized trade regularly outperforms other types of transport in terms of growth, coinciding with consistent increases of average container vessel sizes (UNCTAD 2020). Container terminal operations are heavily affected by this development, since less but larger port calls create unwanted peaks and stress on the terminals and the hinterland. Not all container terminals are affected equally by the described situation. Economic cycles and events such as the global COVID-19 pandemic or the Russian war in Ukraine change the global supply chains, trade characteristics and transport demands between ports in the world. In 2004, Hartmann proposed an approach to create scenarios for simulation and optimization in the sense of container terminal planning and logistics. Due to the significant changes in maritime trade over the years, a new approach for generating synthetic container flow data became practical. In 2021, we introduced a rethought and reworked approach on this topic.The proposed tool, named ConFlowGen, aims to assist planners, scientists, and other maritime experts with providing comprehensive container flow scenarios based on minimal inputs and assumptions of the user. In this paper, we introduce ConFlowGen`s general principle of operation in an exemplary use case in the context of container terminal planning.

2021

[182970]
Title: Synthetically generating traffic scenarios for simulation-based container terminal planning.
Written by: Kastner, Marvin and Grasse, Ole
in: <em>PIANC Yearbook 2023</em>. (2024).
Volume: Number:
on pages:
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: https://pianc.app.box.com/s/vhe61hcxttpakyihjda76pk552itajmc
ARXIVID:
PMID:

[pdf] [www]

Note: conflowgen

Abstract: More than 80 percent of world trade is delivered via sea, making the maritime supply chain a very important backbone for the economy (UNCTAD 2020). Containerized trade regularly outperforms other types of transport in terms of growth, coinciding with consistent increases of average container vessel sizes (UNCTAD 2020). Container terminal operations are heavily affected by this development, since less but larger port calls create unwanted peaks and stress on the terminals and the hinterland. Not all container terminals are affected equally by the described situation. Economic cycles and events such as the global COVID-19 pandemic or the Russian war in Ukraine change the global supply chains, trade characteristics and transport demands between ports in the world. In 2004, Hartmann proposed an approach to create scenarios for simulation and optimization in the sense of container terminal planning and logistics. Due to the significant changes in maritime trade over the years, a new approach for generating synthetic container flow data became practical. In 2021, we introduced a rethought and reworked approach on this topic.The proposed tool, named ConFlowGen, aims to assist planners, scientists, and other maritime experts with providing comprehensive container flow scenarios based on minimal inputs and assumptions of the user. In this paper, we introduce ConFlowGen`s general principle of operation in an exemplary use case in the context of container terminal planning.