Abstract
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.
| Originalsprache | Englisch |
|---|---|
| Titel | 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
| Seiten | 1693-1696 |
| Seitenumfang | 4 |
| ISBN (elektronisch) | 9781728103037 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Sep. 2019 |
Publikationsreihe
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| Band | 2019-September |
| ISSN (Print) | 1946-0740 |
| ISSN (elektronisch) | 1946-0759 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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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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