A Framework for Multidisciplinary Simulation of Cyber-Physical Production Systems

Author:

Brandstetter Veronika,Wehrstedt Jan Christoph

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference11 articles.

1. Bastian, J., Clauß, C., Wolf, S., and Schneider, P. (2011). Master for co-simulation using fmi. In Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany, 63, 115-120. Linköping University Electronic Press.

2. Ein zentrales, multiperspektivisches Datenmodell für die automatische Generierung von Simulationsmodellen für die virtuelle Inbetriebnahme;Baudisch;Tagungsband Automation,2017

3. Cyber-physical systems: Chancen und nutzen aus sicht der automation;Bettenhausen;VDI/VDE-Gesellschaft Mess-und Automatisierungstechnik,2013

4. A microservice-based middleware for the digital factory;Ciavotta;Procedia Manufacturing,2017

5. Principles of object-oriented modeling and simulation with Modelica 2.1;Fritzson,2010

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1. Testing Cyber-Physical Production System: Test Methods Categorization and dataset;2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2022-10-12

2. Modeling and Simulation Challenges for Cyber Physical Systems from Operational Security Perspective;2021 International Conference on Cyber Warfare and Security (ICCWS);2021-11-23

3. A Connective Framework to Support the Lifecycle of Cyber–Physical Production Systems;Proceedings of the IEEE;2021-04

4. Simulation-Based Hybrid Optimization Method for the Digital Twin of Garment Production Lines;Journal of Computing and Information Science in Engineering;2021-03-12

5. Real-time data-driven discrete-event simulation for garment production lines;Production Planning & Control;2020-10-05

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