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
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
<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
Towards Digital-Twin-Driven Factory Planning - A Systematic Review
Towards Digital-Twin-Driven Factory Planning - A Systematic Review
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 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
Automatic Generation of Assembly Instructions by Analyzing Process Recordings - A Concept Overview
Automatic Generation of Assembly Instructions by Analyzing Process Recordings - A Concept Overview
Integration of Autonomous Driving Functionalities for End-of-Line Production Transport Scenarios
Integration of Autonomous Driving Functionalities for End-of-Line Production Transport Scenarios
Optimizing industrial transport with a connected automated vehicle demonstrator for assembly systems and end-of-line production
Optimizing industrial transport with a connected automated vehicle demonstrator for assembly systems and end-of-line production
Enhancing brewery logistics with smart kegs: A simulation study
Enhancing brewery logistics with smart kegs: A simulation study
Pagination
- First page
- Previous page
- …
- 2
- 3
- 4
- …
- Next page
- Last page