Research projects at the LFO
Find out more about our exciting, diverse and interdisciplinary research projects here!
Current research projects at the LFO
Smart-DLWD
Scalable AI and blockchain solutions for supply chain management.
SKALA
Scalable AI and blockchain solutions in supply chain management.
DUH-IT
Innovation transfer for the Dortmund-Unna-Hamm model region.
TECON
From CAD to parts lists - secure file exchange and mapping of the product life cycle.
FlexTools
The modular toolbox for flexible robotics for small and medium-sized automotive suppliers.
MachineLearnAthon
Development of competencies in the field of machine learning for interdisciplinary teams at universities.
EXPERTISE
Competence measurement and customized learning materials for silver workers in purchasing and supply management.
MINIS
Small scale - strong expertise for the logistics of the future. MINIS brings research to life.
GRK 2193
Adaptive intelligence of factories in a dynamic and complex environment.
News from the projects
International webinar "Adaption Intelligence of Factories"
- GRK2193
- FPB
On November 16, 2020, the Chair of Enterprise Logistics and other research institutes at TU Dortmund University are hosting aninternational webinaras part of the Research Training Group 2193 "Adaptive Intelligence of Factories in a Dynamic and Complex Environment".
In addition to insights into the research work of international scientists, the event offers a compact presentation of the latest research findings of the research training group and is therefore equally suitable for science, industry and students from various disciplines.
The broad range of topics covers work on resource-efficient and sustainable factories, innovative simulation and control methods, applications of artificial intelligence and blockchain in production and logistics as well as the digital transformation of work and investment controlling.
The agenda isherecan be found here. Participation is free of charge and possible via ZOOM:
GRK Webinar - 16.11.2020 - 09:00 to 12:30
tu-dortmund.zoom.us/j/93799406707
ID: 937 9940 6707; Code: 649240
The Research Training Group is looking forward to numerous participants at the event.