Details
| Translated title of the contribution | Future Lab Production Networking, Modeling and Optimization of the Industrial Production |
|---|---|
| Original language | German |
| Pages (from-to) | 372-377 |
| Number of pages | 6 |
| Journal | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
| Volume | 119 |
| Issue number | 5 |
| Publication status | Published - 30 Apr 2024 |
Abstract
The Future Lab Production demonstrates the potentials of digitalisation by using the die casting process as an example process. The project shows how manufacturing companies can digitalise their existing machines, analyse their data and exchange information along the supply chain while maintaining data sovereignty. The aim is to support companies with digitalisation from the machine to data platforms. The article describes the methods used, the concepts developed and their benefits.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- Business, Management and Accounting(all)
- Strategy and Management
- Decision Sciences(all)
- Management Science and Operations Research
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In: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 119, No. 5, 30.04.2024, p. 372-377.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Zukunftslabor Produktion
T2 - Vernetzung, Modellierung und Optimierung in der industriellen Produktion
AU - Kallisch, Jonas
AU - Denkena, Berend
AU - Kramer, Kathrin
AU - Stürenburg, Lukas
AU - Pachandrin, Slava
AU - Rokicki, Markus
AU - Walter, Jörg
AU - Nein, Marcus
AU - Voss, Marvin
AU - Wunck, Christoph
AU - Niemann, Karl Heinz
AU - Schmidt, Matthias
AU - Dilger, Klaus
AU - Niederée, Claudia
AU - Hoffmann, Norbert
N1 - Publisher Copyright: © 2024 Walter de Gruyter GmbH, Berlin/Boston, Germany.
PY - 2024/4/30
Y1 - 2024/4/30
N2 - The Future Lab Production demonstrates the potentials of digitalisation by using the die casting process as an example process. The project shows how manufacturing companies can digitalise their existing machines, analyse their data and exchange information along the supply chain while maintaining data sovereignty. The aim is to support companies with digitalisation from the machine to data platforms. The article describes the methods used, the concepts developed and their benefits.
AB - The Future Lab Production demonstrates the potentials of digitalisation by using the die casting process as an example process. The project shows how manufacturing companies can digitalise their existing machines, analyse their data and exchange information along the supply chain while maintaining data sovereignty. The aim is to support companies with digitalisation from the machine to data platforms. The article describes the methods used, the concepts developed and their benefits.
KW - Digital Twin
KW - Information Exchange
KW - Machine Learning
KW - Manufacturing Network
KW - Process Control
KW - Retrofitting
UR - http://www.scopus.com/inward/record.url?scp=85193920866&partnerID=8YFLogxK
U2 - 10.1515/zwf-2024-1061
DO - 10.1515/zwf-2024-1061
M3 - Artikel
AN - SCOPUS:85193920866
VL - 119
SP - 372
EP - 377
JO - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
JF - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
SN - 0947-0085
IS - 5
ER -