Analyses, simulations and assessments of the sustainability of products or their manufacturing both within companies and across life cycles and value networks are our focus. The technical approach is supported by sustainable business models such as platform concepts, digital marketplaces and partnership models. Accordingly, the research group has an interdisciplinary orientation and thinks beyond the challenges of classical production.
SMS offers strategic approaches that harmonize well with the other groups of the R&D area Production and also with research groups from other OFFIS areas, as the same technologies (for example artificial intelligence, digital twins or data platforms) are used. On this basis, the group develops analysis methods and technologies that serve to better understand and guide resource requirements and thus reduce resource consumption.
In general, SMS investigates and optimizes sustainability aspects of production processes with a special focus on resource requirements (raw materials, energy consumption in operation and in the upstream and downstream processes of a product - the so-called gray energy, and emissions). The digitalization of industrial production and new value networks can help to make energy and resource consumption more efficient over the entire product life cycle. The assessment framework of the investigations can therefore include a single company (for example, within a company from "gate to gate" taking into account the process chains) or the entire value chain with the participation of other companies involved. The aim of the group is to help companies reduce their material and energy consumption in the long term so that they can remain competitive in the market and shape the transformation to digitalization as sustainably as possible.
Focus of the Group:
- Resilient supply chains in production
- Supervision and monitoring of critical or strategic economic resources
- Circular economy
- Efficient resource, material and energy consumption
- IT for Green (optimizing resource requirements through digitalization)
- Green IT (preventing IT from consuming more resources than it saves)
- Technology impact assessment
Persons 
D
H
M
O
Dr. rer. nat. Frank Oppenheimer
E-Mail: frank.oppenheimer(at)offis.de, Phone: +49 441 9722-285, Room: Flx-P
S
Projects
2024
2023
CIRC-UITS
Circular Integration of independent Reverse supply Chains for the smart reUse of IndusTrially relevant Semiconductors
Duration: 2023 - 20252022
EDNA
Edge Datenwirtschaft in der nachhaltigen automatisierten Fertigungswirtschaft
Duration: 2022 - 20262021
2020
AVKVIN
Abfallverbrennungskessel 4.0 - Digitalisierung und ganzheitliche Betriebscharakterisierung von Dampferzeugern in Abfallverbrennungskraftwerken
Duration: 2020 - 2023 Publications
2026
Comparing Vertical Federated Learning Frameworks in Manufacturing Supply Chains
Kallisch, J. Marx Gómez, J.; Recent Advances in Information Systems; 04 / 2026
Data-Driven Prediction of Casting Defects in Magnesium High-Pressure Die Casting Using Machine Learning
Pachandrin, S., Kallisch, J., Hoffmann, N., Dilger, K. et al.; International Journal of Metalcasting ; 01 / 2026
Potential of digital tools for sustainability reporting
Tobias Hoiten, Maria Fernanda Davila Restrepo, Alexandra Pehlken; 01 / 2026
Requirements for Using Federated Learning in Manufacturing Supply Chains
Kallisch, Jonas and Gómez, Jorge Marx; Engineering and Management of Data Science; 01 / 2026
Sustainability and Circularity Assessment & Advisory Methodologies and Services
Alessandro Fontana, Siro Dell’Ambrogio, Veronica Dosi, Simone Fasola, Giuseppe Landolfi, Christian Trisolini, Antoinette van Schaik, Markus A. Reuter, Lisa Dawel and Alexandra Pehlken; 01 / 2026
The Development of a Circularity Toolbox for sustainable Product Design
Lisa Dawel, Mattia Calabresi, Francesca Lazzari, Aleksandr Bystrov, Ole Meyer, Felix Schmedes, Antoinette van Schaik, Julien van Damme, Markus A. Reuter, Alexandra Pehlken; 01 / 2026
2025
Application of Matrix Completion Techniques on LCA Data for Different Recycling Scenarios for Parts of Professional Data Centers
Dawel, Lisa and Schmedes, Felix and Fernando Penaherrera and Pehlken, Alexandra; Procedia CIRP; 2025
Bewertung von Edge-Cloud-Systemen - Vorgehen, Instrumente; Metriken
Alt, Bast, Babel, Buitmann, Creutz, Dartmann, Ehaus, Engel, Gast, Großesse, Guldner, Jahnke, Jilg, Körner, Leskow, Mundorf, Naumann, Pehlken, Schacht, Schick, Schlagenhauf, Schultheis, Schörner, Straub, Strüker, Traphöner, Weiher; Juni / 2025
CEN-CENELEC Workshop Agreement: Enabling Circular Economy Practices: Repair and Recycling of PCBAs
Paolo Rosa et al; 12 / 2025
