TY - GEN
T1 - A Communication Architecture to Observe and Partially Preserve Efficiency in Automated Production Systems*
AU - Wilch, Jan
AU - Vogel-Heuser, Birgit
AU - Hsieh, Yu Ming
AU - Cheng, Fan Tien
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85141658802&partnerID=8YFLogxK
U2 - 10.1109/CASE49997.2022.9926551
DO - 10.1109/CASE49997.2022.9926551
M3 - Conference contribution
AN - SCOPUS:85141658802
T3 - IEEE International Conference on Automation Science and Engineering
SP - 335
EP - 340
BT - 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
PB - IEEE Computer Society
T2 - 18th IEEE International Conference on Automation Science and Engineering, CASE 2022
Y2 - 20 August 2022 through 24 August 2022
ER -