Prof. Dr.-Ing. Carlos Jahn

Adresse

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

 

Kontaktdaten

Büro: Gebäude D Raum 5.002a
Anmeldung bei Fr. Beckmann (Raum 5.003)
Tel.: +49 40 42878 4450
Fax: +49 40 42731 4478
E-Mail: carlos.jahn(at)tuhh(dot)de
ORCiD: 0000-0002-5409-0748



Veröffentlichungen (Auszug)

2025

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2024

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2023

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2022

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2021

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2020

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2019

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2018

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2017

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2016

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2015

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2014

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.

2013

[191189]
Title: Modeling of Logistics Objectives at Rail-Road Inland Transshipment Terminals.
Written by: Alieksieiev, Volodymyr and Beigpoor Shahrivar, Rafat and Jahn, Carlos and Lödding, Hermann
in: (2024).
Volume: Number:
on pages: 92-107
Chapter:
Editor:
Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments:
Series:
Address: 92-107
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: https://doi.org/10.1007/978-3-031-71645-4_7
URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9
ARXIVID:
PMID:

[www]

Note: BePoT

Abstract: The logistics performance of inland transshipment terminals, such as rail-road container terminals, is crucial for establishing a reliable combined transport and for accomplishing sustainability goals. Main logistics objectives, such as high output rate and short throughput times, cannot be achieved simultaneously, creating an objective conflict. Modeling the interdependencies between the objectives can support terminals in determining an optimal operation point depending on their goals. Previously, these interdependencies have been analyzed primarily using complex simulation or optimization models. This paper presents an approach to model these interdependencies using Logistic Operating Curves (LOCs) and validates it using simulation.