Digital Twin of manufacturing systems: a case study on increasing the efficiency of reconfiguration
Author:
Affiliation:
1. Institute of Industrial Automation and Software Engineering , Research Assistant , Stuttgart , Germany
2. Institute of Industrial Automation and Software Engineering , Head of Institute , Stuttgart , Germany
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
https://www.degruyter.com/document/doi/10.1515/auto-2020-0003/pdf
Reference18 articles.
1. Ashtari Talkhestani, B., Jazdi, N., Schloegl, W. and Weyrich, M. (2018). Consistency check to synchronize the Digital Twin of manufacturing automation based on anchor points. Procedia CIRP, 72, 159–164. 10.1016/j.procir.2018.03.166.
2. Ashtari Talkhestani, B., Jazdi, N., Schlögl, W. and Weyrich, M. (2018). A concept in synchronization of virtual production system with real factory based on anchor-point method. Procedia CIRP, 67(July), 13-–17. 10.1016/j.procir.2017.12.168.
3. Ashtari Talkhestani, B., Jung, T., Lindemann, B., Sahlab, N., Jazdi, N., Schloegl, W. and Weyrich, M. (2019). An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System. At – Automatisierungstechnik, 67(9), 762–782. 10.1515/auto-2019-0039.
4. Ashtari Talkhestani, B., Schlögl, W. and Weyrich, M. (2017). Synchronisierung von digitalen Modellen. Atp Edition, 59(07–08), 62. 10.17560/atp.v59i07-08.1902.
5. Bauer, A. and Günzel, H. (2013). Data-Warehouse-Systeme: Architektur, Entwicklung, Anwendung (4th ed.). Dpunkt.verlag.
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