TY - GEN
T1 - An Approach for an Automated Adaption of KPI Ontologies by Reusing Systems Engineering Data
AU - Walzel, Hendrik
AU - Vathoopan, Milan
AU - Zoitl, Alois
AU - Knoll, Alois
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Technological progress leads to an increased utilization of data analysis and Business Intelligence that support manufacturing management decisions. Many promising solutions utilize semantic technologies. However, the deployment and maintenance of semantic technologies especially in reconfigurable manufacturing environments require a lot of manual effort. Concepts to embed them in an automated environment, as required by Reconfigurable Manufacturing Systems, are limited. In this paper, we present an approach to reuse systems engineering data to guide an automated process that updates a production data knowledge base. Thereby, an ontology that integrates distributed operational data to compute Key Performance Indicators such as the Overall Equipment Effectiveness index can be updated during the manufacturing reconfiguration process. This reduces the effort to handle the required changes of semantic data integration systems and enables a cost-effective adaption of the Business Intelligence for Reconfigurable Manufacturing Systems.
AB - Technological progress leads to an increased utilization of data analysis and Business Intelligence that support manufacturing management decisions. Many promising solutions utilize semantic technologies. However, the deployment and maintenance of semantic technologies especially in reconfigurable manufacturing environments require a lot of manual effort. Concepts to embed them in an automated environment, as required by Reconfigurable Manufacturing Systems, are limited. In this paper, we present an approach to reuse systems engineering data to guide an automated process that updates a production data knowledge base. Thereby, an ontology that integrates distributed operational data to compute Key Performance Indicators such as the Overall Equipment Effectiveness index can be updated during the manufacturing reconfiguration process. This reduces the effort to handle the required changes of semantic data integration systems and enables a cost-effective adaption of the Business Intelligence for Reconfigurable Manufacturing Systems.
KW - KPI
KW - OEE
KW - reconfigurable manufacturing systems
KW - semantic data integration
KW - systems engineering
UR - http://www.scopus.com/inward/record.url?scp=85074208675&partnerID=8YFLogxK
U2 - 10.1109/ETFA.2019.8869083
DO - 10.1109/ETFA.2019.8869083
M3 - Conference contribution
AN - SCOPUS:85074208675
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
SP - 1693
EP - 1696
BT - Proceedings - 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019
Y2 - 10 September 2019 through 13 September 2019
ER -