| Robust berth scheduling using machine learning for vessel arrival time prediction L Kolley, N Rückert, M Kastner, C Jahn, K Fischer Flexible services and manufacturing journal 35 (1), 29-69, 2023 | 15 | 2023 |
| Integrated simulation-based optimization of operational decisions at container terminals M Kastner, N Nellen, A Schwientek, C Jahn Algorithms 14 (2), 42, 2021 | 10 | 2021 |
| Expansion planning at container terminals M Kastner, AK Lange, C Jahn International Conference on Dynamics in Logistics, 114-123, 2020 | 7 | 2020 |
| Simulation-based optimization at container terminals: A literature review M Kastner, H Pache, C Jahn Hamburg International Conference of Logistics (HICL) 2019, 111-135, 2019 | 6 | 2019 |
| Current state and trends in tramp ship routing and scheduling H Pache, M Kastner, C Jahn Digital Transformation in Maritime and City Logistics: Smart Solutions for …, 2019 | 5 | 2019 |
| Container flow generation for maritime container terminals M Kastner, O Grasse, C Jahn International Conference on Dynamics in Logistics, 133-143, 2022 | 4 | 2022 |
| Assessing performance of container slot allocation heuristics M Kastner, M Peters, C Jahn Adapting to the Future: Maritime and City Logistics in the Context of …, 2021 | 3 | 2021 |
| Model-based optimisation with tree-structured parzen estimation for container terminals M Kastner, N Nellen, C Jahn ASIM 2019 Simulation in Produktion und Logistik, 489-498, 2019 | 3 | 2019 |
| Synthetically generating traffic scenarios for simulation-based container terminal planning M Kastner, O Grasse | 1 | 2024 |
| Groundbreaking Challenges of Deploying Battery-Electric Terminal Trucks in Container Terminals A Mohr, M Kastner, C Jahn Interdisciplinary Conference on Production, Logistics and Traffic, 183-198, 2023 | 1 | 2023 |
| Robust Berth Scheduling Using Machine Learning for Vessel Arrival Time Prediction-refined dataset L Kolley, N Rückert, M Kastner, C Jahn, K Fischer | 1 | 2022 |
| Equipment selection and layout planning-Literature overview and research directions M Kastner, N Kämmerling, C Jahn, U Clausen Data Science in Maritime and City Logistics: Data-driven Solutions for …, 2020 | 1 | 2020 |
| Insights into How to Enhance Container Terminal Operations with Digital Twins M Kastner, AK Lange, T Rossi Preprints, 2024 | | 2024 |
| On Estimating the Required Yard Capacity for Container Terminals L Édes, M Kastner, C Jahn International Conference on Dynamics in Logistics, 171-182, 2024 | | 2024 |
| Impact of Rubber-Tired Gantry Crane Dimension on Container Terminal Productivity M Kastner, C Jahn International Conference on Computational Logistics, 74-88, 2022 | | 2022 |
| Marine Communication for Shipping N Mishra, M Kastner, C Jahn | | 2022 |
| Marine communication for shipping: Using ad-hoc networks at sea N Mishra, M Kastner, C Jahn Changing Tides: The New Role of Resilience and Sustainability in Logistics …, 2022 | | 2022 |
| MALITUP: Schlussbericht M Kastner, T Hensel Technische Universität Hamburg, Institut für Maritime Logistik, 2020 | | 2020 |
| Teaching machine learning and data literacy to students of logistics using Jupyter Notebooks M Kastner, J Franzkeit, A Lainé Gesellschaft für Informatik eV, 2020 | | 2020 |
| Mit Jupyter Notebooks prüfen M Kastner, N Podleschny E-Prüfungs-Symposium 2019, Universität Siegen, 2019 | | 2019 |
Carlos JahnProfessor, Hamburg University of TechnologyBestätigte E-Mail-Adresse bei tuhh.de
