Peter Poschmann, M.Sc
Chair of Logistics

Tel.: +49 30 314 - 786 90
Fax: +49 30 314 - 295 36

poschmann@logistik.tu-berlin.de [2]

Room H 9181

Office hours:

Date according to agreement

• Since Novembre 2017 research associate at the Chair of Logistics, Institute of Technology and Management at Technische Universität Berlin headed by Prof. Dr.-Ing. Frank Straube
• 2015 - 2017 research associate at Fraunhofer Center for Maritime Logistics and Services
• Several internships, e.g. at Lufthansa Technik AG and Adam Opel AG
• Student assistant at the institutes Supply Chain and Network Management (Prof. Pfohl), Product Development and Machine Elements (Prof. Birkhofer) and Flight Systems and Automatic Control (Prof. Klingauf) at TU Darmstadt
  
• M.Sc. and B.Sc. in Industrial Engineering with specilization in mechanical engineering at Technological University of Darmstadt

Research project SMECS - Smart Event Forecast for Seaports (application of artificial intelligence for arrival time forecasting in transport chains, mainly in rail transport)

Transport Logistics Seminar

Thesis Colloquium Transport Logistics

Preferably theses with the following topics:

•     Application of machine learning/AI and math. Statistics on logistic problems
•     Application requirements and potentials of artificial intelligence in logistics
•     Arrival times/ETA forecasts in transport (focus on rail transport)
•     Risk/reliability management in transport/traffic
•     Traffic Logistics
•     predictive maintenance

2022

Poschmann, Weinke, Straube, Kliewer, Gerhardt (2022): Künstliche Intelligenz in der Binnenschifffahrt: Steigerung der Zuverlässigkeit von Binnenschifftransporten durch datenbasierte Ankunftszeitprognosen. Internationales Verkehrswesen, 2/2022.

2021

Weinke, Poschmann, Straube (2021): Decision-making in Multimodal Supply Chains using Machine Learning. In Kersten, Ringle, Blecker (Hg.): Adapting to the future: how digitalization shapes sustainable logistics and resilient supply chain management, S. 301–326, Berlin: epubli.

Poschmann, Weinke, Straube (2021): Predictions of Disruptions in Multi-Modal Transport Chains Using Artificial Intelligence. In: Bundesvereinigung Logistik (BVL) (Hg.): International Scientific Symposium on Logistics - Conference Volume. Bremen, S. 85-90. 

2020

Straube, Weinke, Poschmann (2020): "Hohes Potenzial für lernende Systeme in logistischen Entscheidungsprozessen". In: VDI Fachmedien GmbH & Co. KG

Straube, Poschmann, Weinke, et al. (2020): Smart Event Forecast for Seaports (SMECS): Schlussbericht. Hg. v. Technische Universität Berlin, Fachgebiet Logistik.

Richta, Baltes, Skowron, Weinke, Poschmann et al. (2020): "Prognose von Ankunftszeiten im Schienengüterverkehr". In: Deine Bahn 03/2020, Bahn Fachverlag, S. 44-51.

2019

Poschmann, Weinke, Balster, Straube, Friedrich, Ludwig (2019): Realization of ETA Predictions for Intermodal Logistics Networks Using Artificial Intelligence. In: Clausen, Langkau, Kreuz (Hg.): Advances in Production, Logistics and Traffic: Proceedings of the 4th Interdisciplinary Conference on Production Logistics and Traffic 2019, S. 155-176, Berlin: Springer.

2018

Weinke, Poschmann, Straube (2018): Künstliche Intelligenz in Logistiknetzwerken
Verbesserung der Zuverlässigkeit maritimer Transportketten durch akteursübergreifende ETA-Prognosen. In: Internationales Verkehrswesen (70) 4 | 2018, S. 71 – 75.

2017

John, Poschmann (2017): Fleet Management Systems 2018. Fraunhofer Verlag.

Poschmann, John (2017): Zustandsbasierte Instandhaltung in der Schifffahrt. Schiff&Hafen 8/2017.

2016

Poschmann, John (2016): Approach for a Supply Chain Optimization Model for Spare Part Procurement in Ship Management, IAME 2016 Hamburg.

2015

Elbert, Seikowsky, Müller, Poschmann (2015): Wege zum Kombinierten Verkehr – Eine Analyse potentieller Transportrelationen und Angebote von, nach und innerhalb Deutschlands, Internationales Verkehrswesen 2/2016.