WK Logistik Nachwuchsprogramm

Vortragender: Stefan Voß (Universität Hamburg, Fakultät für Betriebswirtschaft)

ChatGPT is among the recent most-commonly discussed generative artificial intelligence (AI) systems.

While many success stories as well as misuses are exemplified in different fields like, e.g., education, the usefulness in various academic disciplines with very close ties to practical applications still needs to be proven.

In this talk we will explore the use of generative AI tools within the logistics domain.

Examples include application scenarios from vehicle routing (and scheduling), the stochastic vehicle routing problem with uncertainty in the number of available vehicles, berth allocation in maritime shipping, etc.

As a lesson learned, one has to be careful. That is, answers cannot always be granted as being correct.

Rather, hallucinations are all around the corner when it comes to state-of-the-art research questions.

Nevertheless, with meaningful guidance, successful applications are more and more possible.

Vortragender: Prof. Dr. Jörn Schönberger (TU Dresden)

Public transport networks have become more and more attractive for researchers since the public attention to their role and contribution to ensure mobility for the next decades increases continuously. Research dedicated to public transport comprises, on the one hand, the investigation of complicated decision problems related to the design, configuration, and deployment of highly interwoven transport processes. On the other hand, it becomes increasingly clear that a significant challenge associated with understanding public transport networks is the ability to cope with this size and extension. In this context, the data perspective enters the field of play. The amount of data needed to describe a complete public transportation network, including the infrastructure, the transport service on offer, fare information, and many other aspects, is enormous.

This talk gives insights into available data describing real-world multimode public transport networks. We start with the discussion of available reference data models. Afterward, we survey available “open data” sources. Finally, we report our first experience of using these data in a research project that addresses the re-construction of complete public transport networks.

WIRTSCHAFTSINFORMATIK-NACHWUCHSTREFFEN

“Resilience, Perserverance and Diversity in Academia”