Cross-discipline modeling and its contribution to automation
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Birgit Vogel-Heuser
Prof. Dr.-Ing. Birgit Vogel-Heuser heads the Institute of Automation and Information Systems at the Technische Universität München and coordinates the Collaborative Research Center SFB 768 Managing cycles in innovation processes – integrated development of product-service systems based on technical products. She researches on cross-discipline aspects of modeling in automation.
Technische Universität München, Lehrstuhl für Automatisierung und Informationssysteme, Boltzmannstr. 15, 85748 Garching bei München, Germany
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Stefan Biffl
Prof. Dr. Stefan Biffl is an associate professor at the Institute of Software Technology and Interactive Systems at Technische Universität Wien and head of the Christian Doppler Research Laboratory “Software Engineering Integration for Flexible Automation Systems”. His research interests include the semantic integration of heterogenoues models in the multi-disciplinary engineering of industrial production systems.
TU Wien – Institut für Softwaretechnik und Interaktive Systeme, Favoritenstr. 9/188, 1040 Wien, Austria
©2016 Walter de Gruyter Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Editorial
- Cross-discipline modeling and its contribution to automation
- Übersicht
- Model based synthesis of automation functionality
- Methoden
- Wissensbasiertes Engineering automatisierter Anlagen unter Verwendung von AutomationML und OWL
- Konzept eines wissensbasierten Frameworks zur Spezifikation und Diagnose von Inkonsistenzen in mechatronischen Modellen
- Automatic test case generation from requirements for industrial cyber-physical systems
- Anwendungen
- Product, process and resource model coupling for knowledge-driven assembly automation
- Tools
- Design of mechatronic systems through aspect and object-oriented modeling
Artikel in diesem Heft
- Frontmatter
- Editorial
- Cross-discipline modeling and its contribution to automation
- Übersicht
- Model based synthesis of automation functionality
- Methoden
- Wissensbasiertes Engineering automatisierter Anlagen unter Verwendung von AutomationML und OWL
- Konzept eines wissensbasierten Frameworks zur Spezifikation und Diagnose von Inkonsistenzen in mechatronischen Modellen
- Automatic test case generation from requirements for industrial cyber-physical systems
- Anwendungen
- Product, process and resource model coupling for knowledge-driven assembly automation
- Tools
- Design of mechatronic systems through aspect and object-oriented modeling
