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Impulsforum

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.

IPEM Maschinenpark

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Additive Fertigung

Ponticon pE4D
– 4-Achs-System für die Herstellung von Oberflächen auf rotationssymmetrischen Bauteilen
– Bauteillänge: bis 4.000 mm
– Bauteildurchmesser: bis 450 mm
– Schichtdicken: 0,1-0,6 mm

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Blechbearbeitung

TRUMPF TruLaser 1030 Fiber
– Bauraum: 3000 x 1500 mm
– Max. Werkstückgewicht: 930 kg
– Materialdicken: 6 mm bis 20 mm je nach Werkstoff
TRUMPF TruBend 1100
– Max. Biegelänge: 3100 mm
– Max. Anschlagbereich: 880 mm
– Presskraft: 1000 kN
– Max. Blechdicke abhängig von den individuellen Rahmenbedingungen

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Brauerei der Zukunft

Buschhütter Brauwerkstatt
– 10 hl Sudwerk
– 60 hl Gär- und Lagertanks

Fassabfüllung
– Party Fass in 10, 20 & 30 Litern mit bayrischem Anstich und DIN KEG
– Edelstahl-Fass in in 30 & 50 Litern mit DIN KEG

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Profilbiegen

PBS TUBOTRON VARIO 40 RL
– Rohraufschieblänge: bis 6.000 mm
– Rohrbereich: bis 42,0 x 3,0 mm
– Biegeradius: bis 200 mm
– Biegewinkel: max. 180 °

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Zerspanungstechnik

BIMATEC SORALUCE TAM 25
– Verfahrweg der Längsachse (X-Achse): 2.500 mm
– Verfahrweg der Querachse (Y-Achse): 1.200 mm
– Verfahrweg der Vertikalachse (Z-Achse): 1.500 mm
– Max. Außendurchmesser des Werkstücks: 2.100 mm
– Max. Werkstückgewicht beim Fräsen: 5.000 kg (max. 6 rpm)
– Max. Werkstückgewicht beim Drehen: 2.000 kg (max. 400 rpm)

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Zerspanungstechnik

DMG MORI DMU 40 Plus
– Verfahrweg der Längsachse (X-Achse): 550 mm
– Verfahrweg der Querachse (Y-Achse): 450 mm
– Verfahrweg der Vertikalachse (Z-Achse): 420 mm
– Max. Außendurchmesser des Werkstücks: 505 mm
– Max. Höhe des Werkstücks: 570 mm
– Max. Werkstückgewicht: 300 kg

Current research projects

KIBpap
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KIBAPap

The KIBAPap project is developing an AI-powered solution that optimizes the paper recycling cycle through the intelligent use and integration of data, thereby enabling a more efficient use of resources throughout the entire process chain.

Ai
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smartKEGclean

The smartKEGclean project uses an AI-powered cleaning system to create a smart solution that adapts the beer keg cleaning process based on the keg’s condition and significantly reduces resource consumption while maintaining consistent hygiene standards.

 


 

Publications

Current publications

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Journal article
2026

From human to machine: high-impact tasks for AI in production management – an expert study to reshape decision-making

Journal article
2026

A design concept for data-driven brewing: sensor-based system architecture and ML applications for sustainability in micro-breweries

Journal article
2026

From human to machine: high-impact tasks for AI in production management - an expert study to reshape decision-making

Journal article
2026

Effects of AI explanations on trust and reliance: a study in job shop scheduling

Journal article
2026

Improve Quality Control with Predictive Analytics: Using Machine Learning and IO-Link Sensors for Early Detection of Defects in Modern Production

Conference paper
2026

Improve Quality Control with Predictive Analytics: Using Machine Learning and IO-Link Sensors for Early Detection of Defects in Modern Production

Book
2026

Human-AI Collaboration in Production Management

Journal article
2026

A design concept for data-driven brewing: sensor-based system architecture and ML applications for sustainability in micro-breweries

Journal article
2026

Effects of AI explanations on trust and reliance: a study in job shop scheduling

Journal article
2025

Bridging human expertise and machine learning in production management: a case study on ML-based decision support systems to prevent missing parts at assembly

Journal article
2025

Hybrid intelligence – systematic approach and framework to determine the level of Human-AI collaboration for production management use cases

Journal article
2025

A systematic review of machine learning for hybrid intelligence in production management

Your contact person

If you have any further questions about our research activities, please do not hesitate to contact us

Philipp Nettesheim M.Sc.

Wissenschaftliche*r Mitarbeiter*in

Abteilung Datengetriebene Fabrik- und Produktionsoptimierung

Contact

philipp.nettesheim@uni-siegen.de