Univ.-Prof. Dr.-Ing. Peter Burggräf

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

A systematic review of machine learning for hybrid intelligence in production management

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

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

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

Deciding on when to change – a benchmark of metaheuristic algorithms for timing engineering changes

Towards a Sustainable Industrial Society – Critical Capabilities for the Transformation to a Circular Economy in Manufacturing Companies

Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study

Enhancing brewery logistics with smart kegs: A simulation study