Research & industry transfer
The IPEM Chair at the University of Siegen sees itself as a reliable and competent partner and service provider for the manufacturing industry with the aim of driving forward the digital transformation in South Westphalia and beyond. To this end, we offer you the opportunity to collaborate directly in individual planning and consulting projects as well as in publicly funded research projects. We contribute our expertise in a targeted manner to the joint development of solutions. To ensure that the manufacturing industry can also regularly participate in the latest research developments, there is also the opportunity to actively participate in one of our working groups. The Best Practice Circle Production and the Innovation Circle: Digital Business Models create a platform for intensive exchange, content-related impulses, the discussion of selected issues and the network for further cooperation. We also offer a wide range of training courses to prepare you and your employees for the challenges of tomorrow.
You can find more information on the SDFS website.
Publications
Current publications
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
Bridging human expertise and machine learning in production management: a case study on ML-based decision support systems to prevent missing parts at assembly
Bridging human expertise and machine learning in production management: a case study on ML-based decision support systems to prevent missing parts at assembly
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
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
A systematic review of machine learning for hybrid intelligence in production management
A systematic review of machine learning for hybrid intelligence in production management
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
An analytical review of predictive methods for delivery delays in supply chains
An analytical review of predictive methods for delivery delays in supply chains
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
Bridging human expertise and machine learning in production management: a case study on ML-based decision support systems to prevent missing parts at assembly
Bridging human expertise and machine learning in production management: a case study on ML-based decision support systems to prevent missing parts at assembly