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
<sub>E</sub>nhancing Resource Efficiency And Monetization In Metal Recycling Through Supply Chain-Wide Digitalization: An Approach For Single-Variety Metal Stream Optimization And CO2 Reduction
<sub>E</sub>nhancing Resource Efficiency And Monetization In Metal Recycling Through Supply Chain-Wide Digitalization: An Approach For Single-Variety Metal Stream Optimization And CO2 Reduction
gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems
gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems
Deciding on when to change - a benchmark of metaheuristic algorithms for timing engineering changes
Deciding on when to change - a benchmark of metaheuristic algorithms for timing engineering changes
Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
Towards Digital-Twin-Driven Factory Planning - A Systematic Review
Towards Digital-Twin-Driven Factory Planning - A Systematic Review
Application of stochastic risk simulation to increase depth of production planning
Application of stochastic risk simulation to increase depth of production planning
Bridging data gaps in the food industry – sensor-equipped metal food containers as an enabler for sustainability
Bridging data gaps in the food industry – sensor-equipped metal food containers as an enabler for sustainability
Decision support on membrane electrode assembly (MEA) production and factory concepts
Decision support on membrane electrode assembly (MEA) production and factory concepts
Path Prediction For Efficient Order Release In Matrix-Structured Assembly Systems
Path Prediction For Efficient Order Release In Matrix-Structured Assembly Systems
Plaftforms for factory planning,Plattformen für die fabrikplanung
Plaftforms for factory planning,Plattformen für die fabrikplanung
Boosting the Circular Manufacturing of the Sustainable Paper Industry – A First Approach to Recycle Paper from Unexploited Sources such as Lightweight Packaging, Residual and Commercial Waste
Boosting the Circular Manufacturing of the Sustainable Paper Industry – A First Approach to Recycle Paper from Unexploited Sources such as Lightweight Packaging, Residual and Commercial Waste
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