Artificial Intelligence and Machine Learning in Logistics

Following the mission statement of the Graduate School of Logistics, the program of this year’s Summer School 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. Participants from different countries and disciplines, international scientists and experts from Center of Excellence Logistics and IT work together intensively for one week. Theory becomes practice. This year’s Summer School of the Graduate School of Logistics will take place from July 8-12, 2019 at the Fraunhofer Institute for Material Flow and Logistics in Dortmund.

Course leader

Prof. Dr. Michael Henke, TU Dortmund University, Fraunhofer Institute for Material Flow and Logistics

Target group

PhD students in logistics or in related fields (computer science, mechanical engineering, industrial engineering, business administration, Sociology, Psychology, …)

Course aim

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.