Manufacturing
Thanks to an efficient middle class, the industrial production in Germany represents a central part of the national added value. New requirements constantly challenge the innovative strength and flexibility of companies. These changes in a globalized world require increased digitization efforts, especially on the part of SMEs, in order to maintain or even expand their position.
The transformation of traditional production systems and processes through digitization pursues many different goals. Examples include increasing the efficiency of individual processes or production steps of a production line or the efficient interaction of different individual systems, as well as optimizing availability through predictive maintenance or improving quality through error detection in workpiece production.
The share of information and communication technologies in innovations is constantly increasing. Data about products and production must be collected and processed. Analyses of this data - e.g. using artificial intelligence - automatically lead to changes in processes. Last but not least, people must continue to be integrated into production in such a way that they can fully develop their strengths.
OFFIS as designer
Our institute's broad spectrum of ICT expertise has already provided a wide range of answers to questions relating to industrial production in the past. We are currently experiencing increasing demand from companies that are constantly facing new challenges. The production division of OFFIS deals with the manifold research questions that arise from the increasing introduction of digitization into industrial production. OFFIS will thus transfer the acquired ICT competences for industry 4.0 from practice-oriented research into the economy so that it can actively participate in shaping the digital transformation.
Concrete applications
We have classified our concrete applications of the division Manufacturing's ICT-Research and -Development in the following R&D-Groups:
Persons 
A
Pedro Fernando Arizpe Gomez
E-Mail: PedroFernando.ArizpeGomez(at)offis.de, Phone: +49 441 9722-741, Room: E66
B
D
F
H
K
M
O
Dr. rer. nat. Frank Oppenheimer
E-Mail: frank.oppenheimer(at)offis.de, Phone: +49 441 9722-285, Room: Flx-P
P
Dr. Ing. Alexandra Pehlken
E-Mail: alexandra.pehlken(at)offis.de, Phone: +49 441 9722-712, Room: Flx-P
R
S
Dr. rer. nat. Tim Claudius Stratmann
E-Mail: Tim.Stratmann(at)offis.de, Phone: +49 441 9722-431, Room: Flx-P
W
Projects
C
CIRC-UITS
Circular Integration of independent Reverse supply Chains for the smart reUse of IndusTrially relevant Semiconductors
Duration: 2023 - 2025 E
EDNA
Edge Datenwirtschaft in der nachhaltigen automatisierten Fertigungswirtschaft
Duration: 2022 - 2025I
ISOLDE
Customizable Instruction Sets and Open Leveraged Designs of Embedded riscv processors
Duration: 2023 - 2026J
M
O
P
PLATON
Distributed computing platform for radar-based 3D environment sensing in safe autonomous driving
Duration: 2022 - 2025R
ReHOpE
Reduktion körperlicher Belastungen von Handwerksberufen durch optimierte Exoskelette
Duration: 2022 - 2025 Publications
2025
Discrete simulation of maypole braiding machines to create collision-free braiding programmes
Jan Elmar Krauskopf and Andreas Rauh and Andreas Hein; Heliyon; 2 / 2025
IT-Security Risk Based Approach for Secure Operation of Distributed Data Platforms in Supply Chains
Voß, Marvin and Kallisch, Jonas and Runge, Maxim and Theus, Tobias and Niemann, Karl-Heinz and Wunck, Christoph; 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM); 2025
Uncovering hidden insights in the chair rise performance of older adults using Dynamic Time Warping and K-means clustering
Meyer, Ole and Diekmann, Rebecca and Hellmers, Sandra and Hein, Andreas and Schumacher, Anna; Scientific Reports; 2025
2024
A Rate-Parametric Dataflow Language for a Manual Controllable CGRA Compilation Flow
Böseler, Felix and Walter, Jörg; Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV) 2024; 02 / 2024
On the Path towards Green and Sustainable Electronic via Digital Tools
Lisa Dawel; ADTC -eda workshop 2024 presentations; April / 2024
A Coarse-to-Fine Method for Data-Efficient Collaborative Place Recognition
Furuno, Eike and Hein, Andreas and Stratmann, Tim C. and Pfingsthorn, Max; 2024 9th International Conference on Control and Robotics Engineering (ICCRE); 2024
Analyzing Fault Behaviors in Multi-Domain Systems with Contract-Based Monitors
Bruns, Friederike and Rauh, Andreas and Tosoni, Francesco and Fummi, Franco and Mehlhop, Sven and Oppenheimer, Frank; 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA); 2024
Assessing machine learning methods for environmental performances
Lisa Dawel, Alexandra Pehlken, Lorenzo FrancescoGandini, Paolo Rosa; 06 / 2024
Benchmarking Tabular Data Synthesis for User Guidance
Maria F Davila R, Wolfram Wingerath, Fabian Panse; Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference; 03 / 2024
Bridging Communities in Large-scale Complex and Critical Systems
Kulcsar, Géza and Lalis, Spyros and Le-Phuoc, Danh and Walter, Jörg and Robinson, Charles; May / 2024
