Univ.-Prof. Dr.-Ing. Peter Burggräf
From human to machine: high-impact tasks for AI in production management - an expert study to reshape decision-making
From human to machine: high-impact tasks for AI in production management - an expert study to reshape decision-making
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
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
Effects of AI explanations on trust and reliance: a study in job shop scheduling
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
A systematic review of machine learning for hybrid intelligence in production management
Integrating artificial intelligence into energy management: A case study on energy consumption data analysis and forecasting in a German manufacturing company
Integrating artificial intelligence into energy management: A case study on energy consumption data analysis and forecasting in a German manufacturing company
An analytical review of predictive methods for delivery delays in supply chains
An analytical review of predictive methods for delivery delays in supply chains
Event-based vision in laser welding: An approach for process monitoring
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
Hybrid intelligence – systematic approach and framework to determine the level of Human-AI collaboration for production management use cases
Optimization of Movement Detection Using Optical Flow for Automatic Assembly Instruction Generation
Optimization of Movement Detection Using Optical Flow for Automatic Assembly Instruction Generation
Predicting schedule adherence of engineering changes – a case study on effectivity date adherence prediction using machine learning
Predicting schedule adherence of engineering changes – a case study on effectivity date adherence prediction using machine learning
From theory to application: investigating the generalizability of facility layout problems using a deep reinforcement learning approach
From theory to application: investigating the generalizability of facility layout problems using a deep reinforcement learning approach