
Senior Research Associate in department Planning and Control of Production and Logistics Systems (PSPS), Faculty Production Engineering at the University of Bremen.
Curriculum Vitae
After an apprenticeship as a mechatronics technician, Dirk Schweers studied mechatronics at the Osnabrück University of Applied Sciences and systems engineering at the University of Bremen, specialising in automation technology and robotics. Mr. Schweers completed his studies in 2015 and has been working as a research scientist at the Bremen Institute for Production and Logistics since 2016. Since then, he has been working in the Robotics and Automation Department on the combination of machine learning, image processing and control technology tasks. Mr. Schweers is also editor of the magazine Industrie 4.0 Management, which deals with the present and future of industrial business processes.
Research Areas and Interests
- Machine learning, image processing and control engineering
- Energy and resource efficient production
- Process optimization through robotics and automation systems
- Industry 4.0, cyber-physical production and logistics systems
Activities
Dirk Schweers is working on the NaBeMi research project, which aims to develop a methodology for planning sustainability-promoting resources for manual and hybrid assembly systems that takes ecological, economic and social aspects into account. A web-based assistance system supports the resource planning process. The methodology integrates three quality control loops in order to resolve conflicts between classic and sustainability targets and enable holistic resource planning. This analyses conflicting objectives and ensures a high level of planning quality. stance
Projects
AI-Consult | Multimodales, KI-gestütztes Informationssystem zur kognitiven Unterstützung logistischer Prozesse |
AKAMAI ASRS | Neues Intralogistik-Lagersystem |
ALSO 4.0 | Effizienzsteigerung eines Aluminiumschmelzofens durch den Einsatz intelligenter Steuerungsmodule, erweiterter Sensorik und innovativer Lösungsmethodiken in der Verbrennungstechnik |
ErgoKI | Erfassung und KI-basierte Analyse von Ergonomiedaten in der manuellen Montage mittels körpernaher Sensorik und maschineller Sehverfahren |
MARGO | Optimizing Material Flow with AGV’s in Ring Gear Production |
NaBeMi | Entwicklung eines Qualitätsregelkreis-basierten Assistenzsystems zur nachhaltigen Betriebsmittelplanung für die manuelle und hybride Montage |
OptiAssist | KI-basierte Anomalie- und Ursachenanalyse von Montageprozessdaten zur Ableitung von Prozess- und Assistenzsystem-Verbesserungsvorschlägen |
ViProQAS | Visual Product Quality Auditing System |
Contact
BIBA
Hochschulring 20
D-28359 Bremen
Phone: | +49(0)421/218-50124 |
e-Mail: | ser@biba.uni-bremen.de |