Skip to main navigation Skip to search Skip to main content

Capability-Based Process Modeling and Control

  • Michael Mayrhofer
  • , Christoph Mayr-Dorn
  • , Ouijdane Guiza
  • , Georg Weichhart
  • , Alexander Egyed

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Cyber physical production systems (CPPS) focus on increasing the flexibility and adaptability of industrial production systems, systems that comprise hardware such as sensors and actuators in machines as well as software controlling and integrating these machines. The requirements of customised mass production imply that control and integration software needs to be adaptable after deployment in a shop floor (factory), possibly even without interrupting production. Today, software frameworks provide support to model and execute manufacturing processes. They, however, provide little support for reuse. In this paper, we present a framework based on capabilities, which supports manufacturing process templates. These templates are bound/allocated to a specific shopfloor setup, a specific set of machines, and executed using a distributed set of process engines. This enables the reuse of manufacturing processes, as well as transmitting and executing changed processes. The framework is implemented using the Eclipse Milo implementation of OPC UA in Java. It is used to control a lab-scale modular shopfloor programmed in IEC61499 and Java.
Original languageEnglish
Title of host publication2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Pages45-52
Number of pages8
ISBN (Electronic)9781728189567
DOIs
Publication statusPublished - Sept 2020

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume2020-September
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fields of science

  • 102022 Software development
  • 102 Computer Sciences

JKU Focus areas

  • Digital Transformation

Cite this