Dr. Rafat Beigpoor Shahrivar
Address
Hamburg University of Technology
Institute of Maritime Logistics
Am Schwarzenberg-Campus 4 (D)
21073 Hamburg
Contact Details & Profiles
Office: building D room 5.004
Phone: +49 40 42878 4009
E-mail: rafat.beigpoor.shahrivar(at)tuhh(dot)de
ORCiD: 0000-0002-0874-160X
LinkedIn: https://www.linkedin.com/in/rafat-beigpoor-shahrivar-3b157774/
Google scholar: https://scholar.google.com/citations?user=2FXhG8sAAAAJ&hl=en
ResearchGate: https://www.researchgate.net/profile/Rafat-Beigpoor-Shahrivar
Research Focus
- Modeling and Simulation for Container Terminal Planning Optimization
- Sustainable Port Operations and Logistics Management
- Green Technologies and Innovations in Maritime Logistics
Presentations and workshops (Excerpt)
- 26.09.2024, Hamburg International Conference of Logistics (HICL): "Modeling of direct transshipments at combined transport terminals", Volodymyr Alieksieiev, Jesse-James Winter, Rafat Beigpoor Shahrivar, Carlos Jahn, Hermann Lödding
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). |
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| on pages: 92-107 |
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| Publisher: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments: |
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| Address: 92-107 |
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| DOI: https://doi.org/10.1007/978-3-031-71645-4_7 |
| URL: https://tore.tuhh.de/entities/publication/9c25d61c-b3ed-425f-8779-acc2501929b9 |
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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
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Abstract:
- Schinas, Orestis and Beigpoor Shahrivar,Rafat (2022). Statistical Properties and Analysis of Marine Fuel Prices. 2022 World of Shipping Portugal, An International Research Conference on Maritime Affairs, from Portugal to the World: 33 [Abstract]