Abstract
The necessity for increased flexibility in production and handling of high-variant product families is a strong trend in Industry 4.0 scenarios. A promising approach to achieve this is to replace the rigid programming of the manufacturing management systems by a declarative description of machines and their functionality. This allows for a dynamic allocation of tasks to resources. This paper reports the ongoing work on applying the concept of capabilities and skills to an industrial application example in order to investigate its potential benefits. To apply the abstract concept of capabilities and skills to the production scenario it is implemented using specific technologies. These include Semantic Web ontologies, constraint solving methods and OPC UA for skill invocation and communication.
Zusammenfassung
Aus Anforderungen von Industrie 4.0-Szenarien heraus entsteht ein zunehmender Bedarf an einer erhöhten Flexibilität in der Produktion und bei der Handhabung variantenreicher Produktfamilien. Ein vielversprechender Ansatz hierfür besteht in dem Ersetzen der starren Programmierung der Fertigungsmanagementsysteme durch eine deklarative Beschreibung von Maschinen und deren Funktionalität. Dies ermöglicht eine dynamische Zuordnung von Aufgaben zu Ressourcen. Dieser Beitrag berichtet über die laufenden Arbeiten zur Anwendung des Konzepts der Capabilities und Skills auf ein industrielles Anwendungsbeispiel, um den potenziellen Nutzen zu untersuchen. Zur Umsetzung im Rahmen eines Produktionsszenarios werden Semantic Web-Ontologien, Constraint-Solving-Methoden und OPC UA eingesetzt.
Funding source: German Federal Ministry for Economic Affairs and Climate Action
About the authors
Dr. Stephan Grimm (born 1975) is a Senior Key Expert Research Scientist at Siemens Technology in Munich. He studied Computer Science in Karlsruhe, Germany, where he also did his PhD in the area of Symbolic AI and logics-based Knowledge Representation. His research interests are in Ontologies, Automated Reasoning and Explainable AI primarily for industrial applications centered around Industry 4.0.
Dr. Alois Haselböck is a Senior Key Expert in the research group Configuration Technologies in the Technology department at Siemens AG Österreich. He received a MS and a PhD degree in Computer Science from the Vienna University of Technology. His research interest comprises knowledge representation and deductive and constraint-based reasoning techniques, especially applied in industrial applications like product configuration and production planning.
Dr.-Ing. Jörg Neidig (born 1975) is the head of the Department “Automation goes IT” at Siemens Digital Industries, Factory Automation. This department focusses on predevelopment in the areas of real-time runtime systems, industrial communications, automation engineering, and distributed systems. Additionally, Dr. Neidig is active in the development and standardization of Industrie 4.0 technologies as a member in the International Electrotechnical Commission (IEC), the Industrial Digital Twin Association (IDTA) and the German Electro and Digital Industry Association (ZVEI).
Kevin Perry (born 1986) is a Key Development Expert at Siemens Digital Industries, Factory Automation. He works in the Innovation department of ETM professional control GmbH with a focus on HMI and SCADA software. His primary responsibilities lie in the area of requirements engineering, software architecture, and knowledge management. He holds a Master's degree in Computer Engineering from the University of Applied Sciences Wiener Neustadt, where he also works as an adjunct lecturer on the topics of algorithms, operating systems, and distributed systems.
Jörn Peschke (born 1970) is a Principal Key Expert at Siemens Digital Industries, Factory Automation and works in the department “Automation goes IT”. He leads predevelopment activities in the areas of agile manufacturing and engineering of advanced industrial automation systems. His research interests are in the fields of information modelling in the industrial automation domain and application of new engineering concepts such as skill-based automation.
Oliver Scharm (born 1995) holds a Master's degree in Mechanical Engineering and Management from Friedrich Alexander University in Erlangen. Today, he works as a project manager and consultant for digital enterprise projects. His focus is on real-time localization, production planning and control, and new flexible production concepts.
Dr. Jens Schnittger (born 1962) is a Principal Key Expert at Siemens Digital Industries, Factory Automation and works in the department Autonomous Factory and Industrial Artificial Intelligence. This department carries out predevelopment projects on industrial applications for artificial intelligence as well as advanced production planning and control systems for agile manufacturing. Dr. Schnittger is technically responsible for the latter domain.
Acknowledgement
Parts of this work have been developed in the project Catena-X. Catena-X is partially supported by the German Federal Ministry for Economic Affairs and Climate Action (funding code 13IK004).
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Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This study was funded by German Federal Ministry for Economic Affairs and Climate Action.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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