Abstract
Shortening product lifecycles and small lot sizes require manufacturing systems to adapt increasingly fast. Many existing machine tools, handling and logistics systems provide a generic functionality that is not bound to a specific product. But this flexibility and reconfigurability on the level of individual resources is lost in automated systems that are limited to the production of a fixed set of product variants. We propose a unified abstraction for the skills provided by the available resources and the product-specific manufacturing requirements. From these high-level descriptions, executable manufacturing procedures are derived, exposed as services and dynamically orchestrated at runtime in order to achieve the manufacturing goals.
Zusammenfassung
Durch immer kürzere Produktlebenszyklen bei steigender Variantenzahl und kleineren Bestellgrößen müssen Produktionsanlagen immer häufiger umgerüstet und angepasst werden. Viele der eingesetzten Maschinen und Anlagen sind bereits heute generisch und prinzipiell für die Herstellung vieler Produkte oder Produktvarianten einsetzbar. Automatisierte Fertigungssysteme sind jedoch meist auf die Herstellung einiger weniger Produktvarianten beschränkt. Zur Ermöglichung flexibler automatisierte Fertigungssysteme nach dem Plug & Produce Paradigma wird ein einheitlicher Ansatz zur Modellierung der Fähigkeiten von Produktionsanlagen und den Anforderungen der Herstellung konkreter Produkte vorgestellt. Ausgehend davon werden ausführbare automatisierte Fertigungsschritte abgeleitet, als Services verfügbar gemacht und zur Laufzeit orchestriert.
About the authors
Dipl. Wirt.-Ing. Julius Pfrommer works as a research assistant at the Vision and Fusion Laboratory of the Karlsruhe Institute of Technology. He works in close collaboration with the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) in Karlsruhe.
Fraunhofer IOSB, Fraunhoferstraße 1, D-76131 Karlsruhe
M.Sc. Denis Stogl works as a research assistant at Institute for Anthropomatics and Robotics (IAR) – Intelligent Process Control and Robotics (IPR) at Karlsruhe Institute of Technology (KIT).
Karlsruhe Institute of Technology (KIT), Intelligent Process Control and Robotics (IPR), Building 40.28, Engler-Bunte-Ring 8, D-76131 Karlsruhe
Dipl.-Inform. Kiril Aleksandrov works as a research assistant at the Forschungszentrum Informatik in Karlsruhe.
FZI Forschungszentrum Informatik, Haid-und-Neu-Str. 10–14, D-76131 Karlsruhe
Dipl.-Inform. Stefan Escaida Navarro works as a research assistant at Institute for Anthropomatics and Robotics (IAR) – Intelligent Process Control and Robotics (IPR) at Karlsruhe Institute of Technology (KIT).
Prof. Dr.-Ing. habil. Björn Hein holds a SCHUNK shared professorship at IAR-IPR of the KIT. He is also a leader of Intelligent Industrial Robotics group.
Prof. Dr.-Ing. habil. Jürgen Beyerer holds a chair as professor at the Vision and Fusion Laboratory of the Karlsruhe Institute of Technolgy. He is also managing director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) in Karlsruhe.
Acknowledgement
This work has been partially funded by the European Commission through the SkillPro project (Grant agreement ICT-287733). The authors would like to thank the SkillPro partners for the intensive exchange and collaboration.
©2015 Walter de Gruyter Berlin/Boston
