How can we achieve a more accurate wheel-rail system design method for stacker cranes? We have developed a prediction model for calculating realistic load spectra over the design life. We integrated this model together with the new DIN EN 13001-3-3 into a software tool. In the... [more]

How do we successfully counter uncertainties in the dynamic environment of production logistics? This initial question is the basis for a current expert survey on networking and the ability to change in production and logistics using autonomous transport systems, which we are... [more]

How do you develop powerful and innovative construction machines? Lecturer Dr.-Ing. Herbert Pfab, Head of Wheel Loader Development at Liebherr Group, will address this question and other exciting topics in our new lecture on heavy equipment. We at TUM fml are anchoring our... [more]

How can we shape our economy to be both more sustainable and more resilient, use resources in a smarter manner and preserve them for future generations? With its research profile and study programs, the Technical University of Munich has an outstanding role to play in actively... [more]

The German Material Flow Congress was held for the 29th time in mid-March under this heading. The two organizers, the Chair of Materials Handling Material Flow Logistics (fml) at the Technical University of Munich and the VDI Bezirksverein München, Ober- und Niederbayern e.V.,... [more]

Tugger train systems are constantly subject to deviations from target and average characteristic values. A self-learning knowledge management system for finding solutions based on SAP is intended to remedy this situation. Together with Flexus AG, we developed a knowledge... [more]

The renaissance of deep learning is fueled by publicly available data sets. While data is already available in other application areas of autonomous systems (e.g., autonomous driving or social robotics) logistics has been lagging behind. To overcome this issue, we released the... [more]

In October 2020 the authors Felix Top, Julia Krottenthaler and Johannes Fottner won the Best Paper Award with their publication "Evaluation of Remote Crane Operation with an Intuitive Tablet Interface and Boom Tip Control" at the IEEE International Conference on Systems, Man, and... [more]

In July 2020 the authors Manuel Stölzner, Michael Kleeberger, Marcel Moll and Johannes Fottner won the Best Student Paper Award with their publication "Investigation of the Dynamic Loads on Tower Cranes during Slewing Operations" at the International Conference on Simulation and... [more]

Mr. Johannes Hofbauer was awarded the study prize of the SEW-Eurodrive Foundation for his master thesis with the title "Analysis of the dynamic load of mobile cranes using the non-linear finite element method". The work of Mr. Hofbauer made a significant contribution to a better... [more]