IPEM - Chair of International Production Engineering and Management
The Chair of International Production Engineering and Management (IPEM) at the University of Siegen stands for pioneering research in the field of production management and the promotion of innovation through agile exchange between science and industry. The research carried out is characterized by close ties to industry. Research work is often carried out with a wide variety of industrial companies. The IPEM Chair, like the SDFS Smart Demonstration Factory Siegen, which the Chair played a key role in setting up, is located on the Buschhütten campus.
campus, which brings together industry and science in the field of production technology at an innovative location.
"In addition to focusing on research and being a reliable and competent partner to the manufacturing industry, one of the main tasks of the IPEM Chair as part of the University of Siegen is to train outstanding personalities. In addition to supporting academic staff, the focus is on the development of students. For this reason, the IPEM Master was launched in the winter semester 20/21, which equips students with the skills they need to excel in an international and digital environment."
Latest publications
A list of the most recent publications
A design concept for data-driven brewing: sensor-based system architecture and ML applications for sustainability in micro-breweries
A design concept for data-driven brewing: sensor-based system architecture and ML applications for sustainability in micro-breweries
Effects of AI explanations on trust and reliance: a study in job shop scheduling
Effects of AI explanations on trust and reliance: a study in job shop scheduling
From human to machine: high-impact tasks for AI in production management - an expert study to reshape decision-making
From human to machine: high-impact tasks for AI in production management - an expert study to reshape decision-making
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
Secretariat
Contact persons: Mailin Klaas and Edith Kringe
Room: CB 1.1
Phone: +49 271 740 - 2630
Mobile: +49 151 54431763
Fax: +49 271 740 - 12628
E-mail: sekretariat.ipem@uni-siegen.de
Opening hours Monday to Thursday 8:00 - 12:00
Information for students
Dear students and prospective students,
If you have any questions about studying, theses or lectures, please contact
:
teaching.ipem@mb.uni-siegen.de
We will answer you as soon as possible.