Univ.-Prof. Dr.-Ing. Peter Burggräf

Improve Quality Control with Predictive Analytics: Using Machine Learning and IO-Link Sensors for Early Detection of Defects in Modern Production

A design concept for data-driven brewing: sensor-based system architecture and ML applications for sustainability in micro-breweries

Effects of AI explanations on trust and reliance: a study in job shop scheduling

From human to machine: high-impact tasks for AI in production management - an expert study to reshape decision-making

An analytical review of predictive methods for delivery delays in supply chains

Integrating artificial intelligence into energy management: A case study on energy consumption data analysis and forecasting in a German manufacturing company

Event-based vision in laser welding: An approach for process monitoring

Hybrid intelligence – systematic approach and framework to determine the level of Human-AI collaboration for production management use cases

Predicting schedule adherence of engineering changes – a case study on effectivity date adherence prediction using machine learning

Optimization of Movement Detection Using Optical Flow for Automatic Assembly Instruction Generation

From theory to application: investigating the generalizability of facility layout problems using a deep reinforcement learning approach

Bridging human expertise and machine learning in production management: a case study on ML-based decision support systems to prevent missing parts at assembly