Philipp Nettesheim M.Sc.
Abteilung Datengetriebene Fabrik- und Produktionsoptimierung
Lehrstuhl für International Production Engineering and Management - Wissenschaftliche*r Mitarbeiter*in
Kontakt
Weblinks
Meine Publikationen
A design concept for data-driven brewing: sensor-based system architecture and ML applications for sustainability in micro-breweries
A design concept for data-driven brewing: sensor-based system architecture and ML applications for sustainability in micro-breweries
Improve Quality Control with Predictive Analytics: Using Machine Learning and IO-Link Sensors for Early Detection of Defects in Modern Production
Improve Quality Control with Predictive Analytics: Using Machine Learning and IO-Link Sensors for Early Detection of Defects in Modern Production
Enhancing brewery logistics with smart kegs: A simulation study
Enhancing brewery logistics with smart kegs: A simulation study
Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
Applications of machine learning in the brewing process: a systematic review
Applications of machine learning in the brewing process: a systematic review
Boosting the Circular Manufacturing of the Sustainable Paper Industry - A First Approach to Recycle Paper from Unexploited Sources such as Lightweight Packaging, Residual and Commercial Waste
Boosting the Circular Manufacturing of the Sustainable Paper Industry - A First Approach to Recycle Paper from Unexploited Sources such as Lightweight Packaging, Residual and Commercial Waste