Registration is now open! Be part of our Summer School 2019. The PhD School of Logistics will take place from July 8-12, 2019 at Fraunhofer Insitute for Material Flow and Logistics in Dortmund. This year the focus is on Artificial Intelligence and Machine Learning in Logistics and the transfer to your dissertation project. Following the mission statement of the Graduate School of Logistics, the program provides a balanced mix of theoretical foundations and practical implementation. In addition to keynotes, we offer hands-on workshops in the laboratories of Fraunhofer IML and a Live Case Study in a company. You will act in interdisciplinary
groups, create new ideas and work on concrete examples from the business world.
“Rethink Future! Digital Transformation in Logistics”
Artificial intelligence (AI) pursues the basic idea of reproducing natural, human learning
processes. Fundamentally, it is not a new topic, it has been researched for several decades.
However, the economic importance of this topic is enormous today. Intelligent systems,
self-learning machines and autonomous vehicles have particular potential. With today‘s concepts, methods and technologies, it is possible for us to raise the potential of AI.
Logistics is an especially interesting area of tension. In our complex supply chains and
networks, unpredictable situations often occur, which is why existing industrial solutions
cannot simply be transferred to logistics applications. The use of machine learning becomes necessary. The challenge: Machines learn from data, which is rarely available in good quality and is hardly described in a sufficient semantical way. This makes data analytics procedures important for creating a suitable basis.
Let‘s start a journey and get deeper into the topic.
The focus is on scientific methods of Artificial Intelligence and Machine Leaning and the
transfer to your dissertation project. Logistics is an interdisciplinary science. That’s why
we work together with engineers, computer scientists, economists, sociologists and psychologists. Together we will shape the future of logistics science.