Project Details
Description
The competitive situation of manufacturing companies is characterized by growing dynamics, increasing process complexity and shortening product and innovation cycles. At the same time, new digital technologies enable real-time networking of production facilities and open up new possibilities for increasing productivity. Within the Future Laboratory Production of the Center for Digital Innovations (ZDIN), innovative approaches to networking, modeling and optimization of production processes and process chains are being researched in an interdisciplinary collaboration of Lower Saxony's universities, colleges and companies. Examples are secure data and IT infrastructures, easily configurable cyber-physical systems or practical methods of intelligent data evaluation. Furthermore, the Future Lab plays a leading role in education and training in the field of Industry 4.0.
| Status | Finished |
|---|---|
| Period | 01.10.19 → 31.03.25 |
Funding
- Ministry of Science and Culture of the state of Lower Saxony in Germany
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 12 Responsible Consumption and Production
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Research output
- 2 Journal articles
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Quantifying circular economy pathways of decommissioned onshore wind turbines: The case of Denmark and Germany
Kramer, K. J., Abrahamsen, A. B., Beauson, J., Hansen, U. E., Clausen, N. E., Velenturf, A. P. M. & Schmidt, M., 01.09.2024, In: Sustainable Production and Consumption. 49, p. 179-192 14 p.Research output: Journal contributions › Journal articles › Research › peer-review
Open Access18 Citations (Scopus) -
KI-Kanban-Behälter: Mobile, dezentrale Logistikdatenerfassung mittels Edge-ML
Rokoss, A., Popkes, L., Kramer, K., Green, T. & Schmidt, M., 11.02.2023, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 118, 1-2, p. 59-63 5 p.Translated title of the contribution :AI Kanban Containers Mobile, Decentralized Logistic Data Acquisition Using Edge-ML Research output: Journal contributions › Journal articles › Research › peer-review
1 Citation (Scopus)