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
Maria Fernanda Davila Restrepo
E-Mail: maria.fernanda.davila.restrepo(at)offis.de, Phone: +49 441 9722-744
H
K
P
Dr. Ing. Alexandra Pehlken
E-Mail: alexandra.pehlken(at)offis.de, Phone: +49 441 9722-712, Room: O90
Projects
A
AVKVIN
Abfallverbrennungskessel 4.0 - Digitalisierung und ganzheitliche Betriebscharakterisierung von Dampferzeugern in Abfallverbrennungskraftwerken
Duration: 2020 - 2023C
CIRC-UITS
Circular Integration of independent Reverse supply Chains for the smart reUse of IndusTrially relevant Semiconductors
Duration: 2023 - 2025E
EDNA
Edge Datenwirtschaft in der nachhaltigen automatisierten Fertigungswirtschaft
Duration: 2022 - 2025G
Publications
2023
Das Dilemma von Druckluft und Leckagen
Lisa Dawel, ALexandra Pehlken; Industrie 4.0 Management; Februar / 2023
Nachhaltigkeit durch Digitalisierung im Mittelstand - Chancen der Digitalisierung zur Erhöhung der Nachhaltigkeit in KMU-Anwendungsfällen – Ein Praxisbeitrag
H. Ekwaro-Osire, S. Wiesner, D. Bode, A. Pehlken ; Industrie 4.0 Management; Februar / 2023
Sustainability Digital Twin: a tool for the manufacturing industry
Maria Davila, Fenja Schwark, Lisa Dawel, Alexandra Pehlken; Procedia CIRP; Vol 116 / 2023
2022
Digitale Nachhaltigkeit im Nordwesten
Ekwaro-Osire, Henry; Pehlken, Alexandra; Mittelstand-Digital Magazin Wissenschaft trifft Praxis - Sonderausgabe Nachhaltigkeit; Mai / 2022
How can machine learning improve waste-to-energy plant operation
Alexandra Pehlken, Henriette Garmatter, Lisa Dawel, Fabian Cyris, Hendrik Beck, Fenja Schwark, Roland Scharf, Astrid Nieße; ICE IEEE; 2022
Mit Künstlicher Intelligenz zu nachhaltigen Geschäftsmodellen – Nachhaltigkeit von, durch und mit KI
Boll, S., Schnell, M., Dowling, M., Faisst, W., Mordvinova, O, Pflaum, A., Rabe, M., Veith, E., Niesse, A., Gülpen, C., Terzidis, O., Riss, U., Eckerle, C., Manthey, S., Pehlken, A., Zielinski, O.; Februar / 2022
Quantifying the Environmental Impacts of Battery Electric Vehicles from a Criticality Perspective
Penaherrera, Fernando; Davila, Maria; Pehlken, Alexandra; Koch, Björn; Juni / 2022
The application of image recognition methods to improve the performance of waste-to-energy plants
Fenja Schwark, Henriette Garmatter, Maria Davila, Lisa Dawel, Alexandra Pehlken, Fabian Cyris, Roland Scharf; EnviroInfo 2022; 09 / 2022
