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at - Automatisierungstechnik

Methoden und Anwendungen der Steuerungs-, Regelungs- und Informationstechnik

[AT - Automation Technology: Methods and Applications of Control, Regulation, and Information Technology
]

Editor-in-Chief: Bretthauer, Georg

12 Issues per year


IMPACT FACTOR 2016: 0.675

CiteScore 2016: 0.55

SCImago Journal Rank (SJR) 2016: 0.262
Source Normalized Impact per Paper (SNIP) 2016: 0.645

Online
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2196-677X
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Volume 63, Issue 10 (Oct 2015)

Issues

Plug & produce by modelling skills and service-oriented orchestration of reconfigurable manufacturing systems

Plug & Produce mittels der Modellierung von Fähigkeiten und der service-orientierten Orchestrierung rekonfigurierbarer Produktionssysteme

Julius Pfrommer / Denis Stogl / Kiril Aleksandrov / Stefan Escaida Navarro / Björn Hein / Jürgen Beyerer
Published Online: 2015-10-14 | DOI: https://doi.org/10.1515/auto-2014-1157

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.

Schlagwörter: Plug & Produce; Cyber-Physische Produktionssysteme; Flexible Fertigung; Rekonfigurierbare Produktionssysteme; Modellierung von Fähigkeiten; Serviceorientierung in der Produktion

Keywords: Plug & Produce; cyber-physical production systems; flexible manufacturing; reconfigureable manufacturing systems; skill modelling; service-oriented manufactoring

About the article

Julius Pfrommer

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

Denis Stogl

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

Kiril Aleksandrov

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

Stefan Escaida Navarro

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).

Björn Hein

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.

Jürgen Beyerer

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.


Accepted: 2015-09-27

Received: 2014-09-22

Published Online: 2015-10-14

Published in Print: 2015-10-28


Citation Information: at - Automatisierungstechnik, ISSN (Online) 2196-677X, ISSN (Print) 0178-2312, DOI: https://doi.org/10.1515/auto-2014-1157.

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©2015 Walter de Gruyter Berlin/Boston. Copyright Clearance Center

Citing Articles

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[1]
Sten Gruner, Julius Pfrommer, and Florian Palm
IEEE Transactions on Industrial Informatics, 2016, Volume 12, Number 5, Page 1832
[2]
L. Monostori, B. Kádár, T. Bauernhansl, S. Kondoh, S. Kumara, G. Reinhart, O. Sauer, G. Schuh, W. Sihn, and K. Ueda
CIRP Annals - Manufacturing Technology, 2016, Volume 65, Number 2, Page 621

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