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Architecture Options to Orchestrate Digital Twins in an Industrial Metaverse for the Predictive Production with AI Method: Evaluation of Options and Proposal for a High-Level Roadmap

  • The Industrial Metaverse (IM) is an upcoming topic for companies and offers new possibilities to digitalize and optimize their business processes together with AI capabilities. In the production domain, the Industrial Metaverse is a step towards the vision of predicting factory behavior for optimization purposes. A central challenge is a complete factory model necessary as the base to predict its behavior. Therefore, the IM approach is promising to build and contain this model out of available single Digital Twins of factory parts. Consequently, an IT target landscape is required to build an Industrial Metaverse for Digital Twins. This paper evaluates different design pattern options for an industrial IT architecture reference implementation of an IM that companies can use in current IT landscapes. It also proposes a high-level roadmap towards the proposed target IT architecture of an IM.

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Metadaten
Author:Bernd Lüdemann-RavitORCiDGND, Frieder HeieckORCiDGND
URL / DOI:https://www.thinkmind.org/index.php?view=instance&instance=PATTERNS+2023
Identifier:978-1-68558-049-0 OPAC HS OPAC extern
Identifier:2308-3557 OPAC HS OPAC extern
Parent Title (English):PATTERNS 2023: The Fifteenth International Conference on Pervasive Patterns and Applications
Publisher:IARIA
Place of publication:Wilmington
Document Type:conference proceeding (article)
Conference:The Fifteenth International Conference on Pervasive Patterns and Applications, June 26, 2023 to June 30, 2023, Nice/France
Language:English
Date of Publication (online):2023/06/26
Year of first Publication:2023
Tag:Industrial Metaverse
GND Keyword:Digitaler Zwilling; Metaversum
Volume:2023
Number of pages:6 Seiten
First Page:6
Last Page:11
Institutes:Fakultät Informatik
IPI – Institut für Produktion und Informatik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften
Open Access:open_access
Research focus:FSP3: Produktion
Publication Lists:Heieck, Frieder
Lüdemann-Ravit, Bernd
Publication reviewed:begutachtet
Release Date:2023/12/21
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