Univ.-Prof. Dr.-Ing. Peter Burggräf
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Event-based vision in laser welding: An approach for process monitoring
Event-based vision in laser welding: An approach for process monitoring
AI-artifacts in engineering change management - a systematic literature review
AI-artifacts in engineering change management - a systematic literature review
Durability and Reliability of Sensors in Smart Steel IBCs: Results from the smart.CONSERVE Project
Durability and Reliability of Sensors in Smart Steel IBCs: Results from the smart.CONSERVE Project
Mega-casting in the automotive production system: Expert interview-based impact analysis of large-format aluminium high-pressure die-casting (HPDC) on the vehicle production
Mega-casting in the automotive production system: Expert interview-based impact analysis of large-format aluminium high-pressure die-casting (HPDC) on the vehicle production
Towards a Sustainable Industrial Society - Critical Capabilities for the Transformation to a Circular Economy in Manufacturing Companies
Towards a Sustainable Industrial Society - Critical Capabilities for the Transformation to a Circular Economy in Manufacturing Companies
Cyber-Physical Optimization of Production Processes Using Cascade AIs: A Robot-Guided MAG Welding Use-Case
Cyber-Physical Optimization of Production Processes Using Cascade AIs: A Robot-Guided MAG Welding Use-Case
Enhancing brewery logistics with smart kegs: A simulation study
Enhancing brewery logistics with smart kegs: A simulation study
Intelligent Order Release In Matrix-Structured Assembly Systems
Intelligent Order Release In Matrix-Structured Assembly Systems
Paving the way for automated factory planning - applying rule-based expert systems to capacity planning
Paving the way for automated factory planning - applying rule-based expert systems to capacity planning
Applications of machine learning in the brewing process: a systematic review
Applications of machine learning in the brewing process: a systematic review
Evaluating early predictive performance of machine learning approaches for engineering change schedule – A case study using predictive process monitoring techniques
Evaluating early predictive performance of machine learning approaches for engineering change schedule – A case study using predictive process monitoring techniques
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas