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Welcome to the Chair of Logistics at Technische Universität Berlin


Professors at the Chair of Logistics
Prof. Dr.-Ing. Frank Straube
Prof. Dr.-Ing.
Dr. rer. pol. h.c. Helmut Baumgarten
Prof. Dr.
Prof. Dr. Sebastian Jürgens
Prof. Dr.-Ing.
Chair of Logistics
Founding professor  Logistics Department

Honorary professor
Honorary professor *until 30.03.2020

Teaching program in summer term 2022

In summer term 2022 the following modules will be offered:

The examination formats will be announced by the examiners in the respective course.

We will inform you about specific details on the courses on in our information session, which we will offer online this semester, as well as on the respective websites of the courses.

Please also note the information in the "Teaching" section.

Tools: TUB Logistics Navigator


To support supply chain managers in planning robust international networks, the research project ILNET developed a logistics planning tool – the TUB Logistics Navigator. The tool is freely accessible online and enables a co-creational network planning process among different partners in the supply chain (manufacturer, suppliers, customers etc.). After visualizing the whole material and information flow along the supply chain, different analyses functions assist the solution finding process. Additionally the TUB Logistics Navigator serves as a knowledge management platform that synthesizes a vast amount of research that has been conducted by ILNET on the management of international logistics networks between Europe, China and Africa. The TUB Logistics Navigator also includes case studies and good practice supply chains from different globally operating companies. Thereby we mainly focusing on international networks that include China and or Ethiopia.

Weitere Informationen: Link
Zum Navigator: Link

Tools: SMECS Demonstrator


With the online demonstrator of the SMECS project, which was funded by the BMVI from 2017 to 2020, the potential of artificial intelligence for the planning and control of logistics chains can be tested using real transport orders. The intelligent system uses machine-learning methods to predict the arrival times of intermodal transports, taking into account disruptions. In addition to this ETA (Estimated Time of Arrival) information, the users are shown suitable disturbance measures to increase the reliability of the transports in terms of a decision support system.

More information: Link
Demonstrator: Link 



Navigating International Supply Chains – A Case Study Collection


Future logistics managers will face a multitude of complex tasks and they will be required to develop efficient management concepts at short notice. University teaching – as well as further education – has the ability to prepare those logistics managers for future tasks by enabling them to transfer theoretical knowledge to practical problems. To contribute to more practice-oriented teaching approaches, the Competence Center for International Logistics Networks at the Chair of Logistics at Berlin University of Technology conducted 10 on-site case studies at leading manufacturing companies in the consumer goods, automotive, and machinery industries, as well as at logistics service providers.

This case collection covers a wide range of topics such as supply chain transparency, lead time management, network planning, volatile customer demand, risk management, behavioral
management, organizational alignment and many others. To provide assistance for instructors that seek to apply those cases in class, guiding questions are also provided.

To download this study, please click here.

Additional information and an accompanying presentation is available here.

Pathway of Digital Transformation in Logistics - Best Practice Concepts and Future Developments


The research study “Pathway of Digital Transformation in Logistics” deals with today’s logistics challenges, which are increasing speed and the integration of real-time information for data-driven services, implementing new organizational and leadership structures as well as the need for finding approaches for cooperation with new actors such as start-ups or tech companies. Therefore, the study examines four thematic building blocks central to current developments in logistics: technologies, including platforms, and data-driven services as tools and leadership and organization, as well as open innovation as enablers. The research approach is twofold. First, we investigate the four topics by means of an online questionnaire answered by 120 international participants. Second, a Delphi workshop with 32 logistics experts from industry and LSP reveals further evaluations of success factors and barriers for future developments in logistics. The study describes findings how companies move forward on the path of digital transformation towards smart logistics by presenting and discussing best practice concepts and future developments in logistics.

To download this study, please click here.

Zusatzinformationen / Extras

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Prof. Dr.-Ing. Straube

Fachgebiet Logistik
H 90
Technische Universität Berlin
Straße des 17. Juni 135
10623 Berlin

Prof. Dr. Dr.h.c. Baumgarten

Fachgebiet Logistik
H 90
Technische Universität Berlin
Straße des 17. Juni 135
10623 Berlin

Anschrift Bereich Logistik

Technische Universität Berlin
Bereich Logistik
für Technologie und Management
für Wirtschaft und Management
Straße des 17. Juni 135
10623 Berlin