Abstract
The added value of a Digital Twin for reconfiguring manufacturing systems promises an increase in system availability, a reduction in set-up and conversion times and enables the manufacturing of customer-specific products. To evaluate this claim, this paper selects an architecture of the Digital Twin and realizes it on the basis of an application scenario for a cyber-physical manufacturing system. A case study is used to test the reconfiguration of a manufacturing system by comparing two different methods, one without and one with use of the Digital Twin. In this paper, the process steps of both reconfigurations are described and discussed in detail and a qualitative and quantitative evaluation of the reconfiguration results is presented. Finally, this paper gives an outlook on future research on intelligent automation of manufacturing systems using the Digital Twin.
Zusammenfassung
Der Mehrwert eines synchronisierten Digitalen Zwillings zur Rekonfiguration eines Fertigungssystems verspricht eine Verkürzung der Rekonfigurationszeit und damit eine Erhöhung der Systemverfügbarkeit sowie die kurzfristige Herstellung kundenspezifischer Produkte. Zur Evaluierung dieser Aussage wird in diesem Beitrag eine Architektur des Digitalen Zwillings ausgewählt und innerhalb eines Anwendungsszenarios für ein cyber-physikalisches Fertigungssystem implementiert. Innerhalb einer Fallstudie erfolgt darüber hinaus die Rekonfiguration dieses Fertigungssystems mit zwei verschiedenen Methoden, zum einen ohne Verwendung des Digitalen Zwillings und zum anderen unter Verwendung des synchronisierten Digitalen Zwillings. Dabei werden in diesem Beitrag die Prozessschritte beider Rekonfigurationen detailliert beschrieben und verglichen sowie eine qualitative und quantitative Evaluierung der Rekonfigurationsergebnisse gegeben. Schließlich gibt dieser Beitrag einen Ausblick auf zukünftige Forschungen zur intelligenten Automatisierung und Autonomie von Produktionssystem unter Verwendung des Digitalen Zwillings.
About the authors
Behrang Ashtari, M.Sc., has worked since 2016 at the Institute of Industrial Automation and Software Engineering in the University of Stuttgart as a research assistant. His research focuses on the integrated modelling of the Digital Twin of an automated manufacturing system and on the synchronization of the Digital Twin’s models throughout the entire life cycle of the system.
Prof. Dr.-Ing. Dr. h. c. Michael Weyrich teaches at the University of Stuttgart and is head of the Institute of Industrial Automation and Software Engineering. His research focuses on intelligent automation systems, complexity control of cyber-physical systems and validation and verification of automation systems.
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