Zukunftslabor Produktion: Vernetzung, Modellierung und Optimierung in der industriellen Produktion

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

  • Jonas Kallisch
  • Berend Denkena
  • Kathrin Kramer
  • Lukas Stürenburg
  • Slava Pachandrin
  • Markus Rokicki
  • Jörg Walter
  • Marcus Nein
  • Marvin Voss
  • Christoph Wunck
  • Karl Heinz Niemann
  • Matthias Schmidt
  • Klaus Dilger
  • Claudia Niederée
  • Norbert Hoffmann

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.

Translated title of the contributionFuture Lab Production Networking, Modeling and Optimization of the Industrial Production
Original languageGerman
JournalZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
Volume119
Issue number5
Pages (from-to)372-377
Number of pages6
ISSN0947-0085
DOIs
Publication statusPublished - 05.2024

Bibliographical note

Publisher Copyright:
© 2024 Walter de Gruyter GmbH, Berlin/Boston, Germany.

    Research areas

  • digital twin, information exchange, machine learning, manufacturing network, process control, retrofitting
  • Engineering

DOI