Product, process and resource model coupling for knowledge-driven assembly automation
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Borja Ramis Ferrer
Borja Ramis Ferrer received the Ingeniero Técnico Industrial degree in electrical engineering from the Universidad de las Islas Baleares, Islas Baleares, Spain, in 2011 and the M.Sc. degree (with Distinction) in Factory Automation from Tampere University of Technology, Tampere, Finland, in 2013. He is currently working towards his Dr. Tech degree at Tampere University of Technology and is President's Doctoral School fellow. His research interests include the deployment of knowledge-based and cyber-physical systems in factory automation.
Tampere University of Technology – FAST-Lab. P.O. 600, FI-33101, Tampere, Finland
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Bilal Ahmad
Bilal Ahmad is a Research Fellow at WMG, University of Warwick. He received his MSc in Mechatronics and PhD in Automation Systems from Loughborough University. He specialises in the area of industrial automation. He has worked on a number of UK and EU engineering research projects in collaboration with automotive manufacturers, machine builders and control vendors to develop tools and methods to support lifecycle of automation systems.
WMG, University of Warwick, Coventry, CV4 7AL, United Kingdom
Daniel Vera has been working in the domain of manufacturing engineering for over ten years. His research interests are focused on various aspects of manufacturing from the modelling, analysis and optimisation of engineering processes to the design and development of 3D-based virtual engineering tools for supporting the manufacturing system lifecycle, which formed the focus of his PhD thesis. Dr Vera has been involved in numerous UK and European projects as a Research Associate at Loughborough University and now a Research Fellow at the University of Warwick. He is currently taking a leading role in the commercialisation of new automation systems and methods.
WMG, University of Warwick, Coventry, CV4 7AL, United Kingdom
Andrei Lobov is lecturing at the Tampere University of Technology. He received his PhD in Formal Methods of Factory Automation, in 2008. He holds BSc in Computer and System Engineering from the Tallinn University of Technology (2001). Then, he continued his education at the Tampere University of Technology and received MSc in Automation Engineering (2004). His research interests include development of architectures, methodologies and technologies for manufacturing systems. He is a technical coordinator of the eScop project.
Tampere University of Technology – FAST-Lab. P.O. 600, FI-33101, Tampere, Finland
Robert Harrison is Professor of Automation Systems at WMG, University of Warwick and has been principal investigator on more than 35 EU, UK government, and commercial R&D projects related to manufacturing automation with current projects focusing on lifecycle engineering and virtual commissioning, control deployment and augmented reality. He led the UK research related to Ford's Technology Cycle Plan for powertrain manufacturing automation and was recipient of a RAEng Global Research Award to study “Lifecycle Engineering of Modular Reconfigurable Manufacturing Automation”.
WMG, University of Warwick, Coventry, CV4 7AL, United Kingdom
José L. Martínez Lastra joined Tampere University of Technology in 1997, and became University Full Professor in 2006. His research interest is on applying Information and Communication Technologies to the fields of Factory Automation an Industrial Systems. Prof. Lastra leads the Factory Automation Systems and Technologies Laboratory with the ultimate goal of seamlessly integrating the knowledge of humans and machines. Prof. Lastra has co/authored over 250 scientific papers and holds a number of patents in the field of Industrial Informatics and Automation. He serves as Associate Editor of the IEEE Transactions on Industrial Informatics, and he is a Technical Editor of the IEEE/ASME Transactions on Mechatronics.
Tampere University of Technology – FAST-Lab. P.O. 600, FI-33101, Tampere, Finland
Abstract
Accommodating frequent product changes in a short period of time is a challenging task due to limitations of the contemporary engineering approach to design, build and reconfigure automation systems. In particular, the growing quantity and diversity of manufacturing information, and the increasing need to exchange and reuse this information in an efficient way has become a bottleneck. To improve the engineering process, digital manufacturing and Product, Process and Resource (PPR) modelling are considered very promising to compress development time and engineering cost by enabling efficient design and reconfiguration of manufacturing resources. However, due to ineffective coupling of PPR data, design and reconfiguration of assembly systems are still challenging tasks due to the dependency on the knowledge and experience of engineers. This paper presents an approach for data models integration that can be employed for coupling the PPR domain models for matching the requirements of products for assembly automation. The approach presented in this paper can be used effectively to link data models from various engineering domains and engineering tools. For proof of concept, an example implementation of the approach for modelling and integration of PPR for a Festo test rig is presented as a case study.
Zusammenfassung
Die Berücksichtigung häufiger Produktänderungen innerhalb kurzer Zeiträume ist eine Herausforderung für Ingenieure aufgrund der Limitierungen aktueller Ansätze zum Entwurf, Aufbau und Rekonfiguration von Automatisierungssystemen. Insbesondere die steigende Menge und Vielfalt an Informationen aus der Produktion, die auf effiziente Art und Weise ausgetauscht und wiederverwendet werden sollen, führt zu einem Engpass. Zwei vielversprechende Ansätze um Entwicklungskosten und Entwicklungszeit zu reduzieren und gleichzeitig eine effiziente Entwicklung sowie die Rekonfiguration des Montagesystems zu ermöglichen, sind die digitale Fabrik und kombinierte Produkt-, Prozess- und Ressourcenmodelle (PPR). Aufgrund der bisher ineffizienten Verknüpfung der PPR-Daten ist die Entwicklung und die Rekonfiguration von Montageanlagen noch immer eine sehr anspruchsvolle Aufgabe aufgrund der starken Abhängigkeit vom Fachwissen und der Erfahrung der Ingenieure. Dieser Artikel präsentiert einen Ansatz zur Integration von Datenmodellen, der zur Kopplung der PPR-Domänenmodelle eingesetzt werden kann, um die Anforderungen der Produkte an die Montageautomatisierung zu erfüllen. Die hier vorgestellte Methode dient dazu, Datenmodelle und ihre Werkzeuge aus verschiedenen Ingenieursdisziplinen zu koppeln. Zur Evaluation wird eine beispielhafte Implementierung des Modell und Integrationsansatzes die Fallstudie eines FESTO-Prüfstandes präsentiert.
About the authors
Borja Ramis Ferrer received the Ingeniero Técnico Industrial degree in electrical engineering from the Universidad de las Islas Baleares, Islas Baleares, Spain, in 2011 and the M.Sc. degree (with Distinction) in Factory Automation from Tampere University of Technology, Tampere, Finland, in 2013. He is currently working towards his Dr. Tech degree at Tampere University of Technology and is President's Doctoral School fellow. His research interests include the deployment of knowledge-based and cyber-physical systems in factory automation.
Tampere University of Technology – FAST-Lab. P.O. 600, FI-33101, Tampere, Finland
Bilal Ahmad is a Research Fellow at WMG, University of Warwick. He received his MSc in Mechatronics and PhD in Automation Systems from Loughborough University. He specialises in the area of industrial automation. He has worked on a number of UK and EU engineering research projects in collaboration with automotive manufacturers, machine builders and control vendors to develop tools and methods to support lifecycle of automation systems.
WMG, University of Warwick, Coventry, CV4 7AL, United Kingdom
Daniel Vera has been working in the domain of manufacturing engineering for over ten years. His research interests are focused on various aspects of manufacturing from the modelling, analysis and optimisation of engineering processes to the design and development of 3D-based virtual engineering tools for supporting the manufacturing system lifecycle, which formed the focus of his PhD thesis. Dr Vera has been involved in numerous UK and European projects as a Research Associate at Loughborough University and now a Research Fellow at the University of Warwick. He is currently taking a leading role in the commercialisation of new automation systems and methods.
WMG, University of Warwick, Coventry, CV4 7AL, United Kingdom
Andrei Lobov is lecturing at the Tampere University of Technology. He received his PhD in Formal Methods of Factory Automation, in 2008. He holds BSc in Computer and System Engineering from the Tallinn University of Technology (2001). Then, he continued his education at the Tampere University of Technology and received MSc in Automation Engineering (2004). His research interests include development of architectures, methodologies and technologies for manufacturing systems. He is a technical coordinator of the eScop project.
Tampere University of Technology – FAST-Lab. P.O. 600, FI-33101, Tampere, Finland
Robert Harrison is Professor of Automation Systems at WMG, University of Warwick and has been principal investigator on more than 35 EU, UK government, and commercial R&D projects related to manufacturing automation with current projects focusing on lifecycle engineering and virtual commissioning, control deployment and augmented reality. He led the UK research related to Ford's Technology Cycle Plan for powertrain manufacturing automation and was recipient of a RAEng Global Research Award to study “Lifecycle Engineering of Modular Reconfigurable Manufacturing Automation”.
WMG, University of Warwick, Coventry, CV4 7AL, United Kingdom
José L. Martínez Lastra joined Tampere University of Technology in 1997, and became University Full Professor in 2006. His research interest is on applying Information and Communication Technologies to the fields of Factory Automation an Industrial Systems. Prof. Lastra leads the Factory Automation Systems and Technologies Laboratory with the ultimate goal of seamlessly integrating the knowledge of humans and machines. Prof. Lastra has co/authored over 250 scientific papers and holds a number of patents in the field of Industrial Informatics and Automation. He serves as Associate Editor of the IEEE Transactions on Industrial Informatics, and he is a Technical Editor of the IEEE/ASME Transactions on Mechatronics.
Tampere University of Technology – FAST-Lab. P.O. 600, FI-33101, Tampere, Finland
Acknowledgement
The authors gratefully acknowledge the support of the UK EPSRC through the Knowledge-Driven Configurable Manufacturing (KDCM) research project under the Flexible and Reconfigurable Manufacturing Initiative and the graduate school funding of Tampere University of Technology in carrying out this work.
©2016 Walter de Gruyter Berlin/Boston
Articles in the same Issue
- 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
Articles in the same Issue
- 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
