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Agile Operational Behavior for the Control-Level Devices in Plug Produce Production Environments

  • Kirill Dorofeev
  • , Stefan Profanter
  • , Jose Cabral
  • , Pedro Ferreira
  • , Alois Zoitl

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

The ongoing manufacturing systems transformation from mass production towards mass customization requires more flexible engineering solutions than the existing ones. The recently proposed control architectures target, among other plug-and-produce features, a reduction of configuration times. This is relevant for building a new production line as well as for faster reconfiguration when adding new hardware and product variants to an existing manufacturing line. This paper identifies operational requirements for such reconfiguration scenarios and proposes a way to implement them using the concept of a device adapter. The device adapter contains a device description and constantly updates it following the reconfiguration changes happening in a manufacturing system. This allows not only to detect the changes in the hardware, which appear in the production system, using the device discovery mechanisms but also automatically adapt the software. Preliminary tests have been performed on a demonstrator that shows both virtual and physical executions combined in a single system. The proposed solution supports automatic hardware and software reconfiguration on-the-fly without a need to stop and restart the whole production system.
OriginalspracheEnglisch
Titel2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Seiten49-56
Seitenumfang8
ISBN (elektronisch)9781728103037
DOIs
PublikationsstatusVeröffentlicht - Sep. 2019

Publikationsreihe

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Band2019-September
ISSN (Print)1946-0740
ISSN (elektronisch)1946-0759

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Wissenschaftszweige

  • 202017 Embedded Systems
  • 102022 Softwareentwicklung
  • 102025 Verteilte Systeme
  • 102029 Praktische Informatik
  • 202003 Automatisierungstechnik
  • 202041 Technische Informatik

JKU-Schwerpunkte

  • Digital Transformation

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