Concept of a plug-and-play, machine learning digital twin of the production resource for detailed capacity planning and scheduling

  • Due to the progress of Digital Production and the Industrial Internet of Things, continuous shop floor data is available with high coverage, accuracy, and in high detail for Production Planning and Control software. Detailed Capacity Planning and Scheduling (DCPS) can benefit by applying the Digital Twin concept and Machine Learning for an accurate and automated virtual representation of the production resource. However, the effort and difficulty required for data connection, data preparation, and modelling are high. Connection standards enable interoperability and plug-and-play software, and constitute an opportunity to reduce the effort and difficulty. This article compiles requirements regarding the virtual representation of the production resource for DCPS. It then proposes the concept of a plug-and-play, Machine Learning Digital Twin to meet these requirements. The elements of the according Digital Twin software are described, and the need for future research is identified.

Download full text files

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Mario Luber, Sarah Wagner, Marc Wegmann, Johannes SchilpGND
URN:urn:nbn:de:bvb:384-opus4-1198777
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/119877
ISSN:1877-0509OPAC
Parent Title (English):Procedia Computer Science
Publisher:Elsevier BV
Place of publication:Amsterdam
Type:Article
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/03/10
Volume:253
First Page:1266
Last Page:1275
Note:
6th International Conference on Industry 4.0 and Smart Manufacturing
DOI:https://doi.org/10.1016/j.procs.2025.01.188
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Ingenieurinformatik mit Schwerpunkt Produktionsinformatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)