A Communication Architecture to Observe and Partially Preserve Efficiency in Automated Production Systems*

Jan Wilch, Birgit Vogel-Heuser, Yu Ming Hsieh, Fan Tien Cheng

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

2 Scopus citations

Abstract

The Overall Equipment Effectiveness (OEE) of automated Production Systems (aPS) is an essential metric in a competitive global market. Maintaining high OEE is not easily achieved in aPS, because hard real-time requirements and the fulfillment of extra-functional tasks, including safety, limit the flexibility needed for fault-tolerant control and dynamic reconfiguration. This paper proposes the extension of aPS by a distributive agent to monitor the process and intervene only in case of potential OEE loss, leaving the core system unaltered. The approach's viability is demonstrated using a preexisting demonstrator machine whose OEE is monitored by a physically separate agent, connected via the internet. Unbound by real-time requirements, this agent monitors potential risks to OEE and, if deemed necessary, automatically intervenes with instructions to the operative layer to trigger a reconfiguration. This work was submitted alongside another paper, conceptualizing the inclusion of component health modeling and observation in the distributive agent's capabilities.

Original languageEnglish
Title of host publication2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
PublisherIEEE Computer Society
Pages335-340
Number of pages6
ISBN (Electronic)9781665490429
DOIs
StatePublished - 2022
Event18th IEEE International Conference on Automation Science and Engineering, CASE 2022 - Mexico City, Mexico
Duration: 20 Aug 202224 Aug 2022

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2022-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference18th IEEE International Conference on Automation Science and Engineering, CASE 2022
Country/TerritoryMexico
CityMexico City
Period20/08/2224/08/22

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