Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Advances in System-Integrated Intelligence |
| Untertitel | Proceedings of the 6th International Conference on System-Integrated Intelligence SysInt 2022, Genova, Italy |
| Herausgeber/-innen | Maurizio Valle, Dirk Lehmhus, Christian Gianoglio, Edoardo Ragusa, Lucia Seminara, Stefan Bosse, Ali Ibrahim, Klaus-Dieter Thoben |
| Erscheinungsort | Cham |
| Herausgeber (Verlag) | Springer Science and Business Media Deutschland GmbH |
| Seiten | 415-424 |
| Seitenumfang | 10 |
| ISBN (elektronisch) | 978-3-031-16281-7 |
| ISBN (Print) | 9783031162800 |
| Publikationsstatus | Veröffentlicht - 4 Sept. 2022 |
| Veranstaltung | 6th International Conference on System-Integrated Intelligence, SysInt 2022 - Genova, Italien Dauer: 7 Sept. 2022 → 9 Sept. 2022 |
Publikationsreihe
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Band | 546 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (elektronisch) | 2367-3389 |
Abstract
The development of a novel manufacturing process chain is a complex scientific challenge and requires interdisciplinary and inter-institutional collaboration. Data need to be exchanged continuously between involved researchers in order to coordinate between individual process steps and to identify cause-effect relationships within the process. This publication describes an approach to provide seamless digital access to quality-related data and to further structure, semantically annotate and link process- and quality-relevant data. It uses a domain-specific ontology called Visual Inspection Ontology embedded in a Knowledge Management System to support the documentation of a quality-determining process. The ontology is applied to a use case from the development of a novel process chain to manufacture multi-material shafts within the Collaborative Research Centre (CRC) 1153. A workflow to establish quality control measures regarding a novel process chain for multi-material high-performance components under development based on the proposed ontology is presented.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Informatik (insg.)
- Signalverarbeitung
- Informatik (insg.)
- Computernetzwerke und -kommunikation
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- BibTex
- RIS
Advances in System-Integrated Intelligence: Proceedings of the 6th International Conference on System-Integrated Intelligence SysInt 2022, Genova, Italy. Hrsg. / Maurizio Valle; Dirk Lehmhus; Christian Gianoglio; Edoardo Ragusa; Lucia Seminara; Stefan Bosse; Ali Ibrahim; Klaus-Dieter Thoben. Cham: Springer Science and Business Media Deutschland GmbH, 2022. S. 415-424 (Lecture Notes in Networks and Systems; Band 546 LNNS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Ontology-Based Documentation of Quality Assurance Measures Using the Example of a Visual Inspection
AU - Sheveleva, Tatyana
AU - Herrmann, Kevin
AU - Wawer, Max Leo
AU - Kahra, Christoph
AU - Nürnberger, Florian
AU - Koepler, Oliver
AU - Mozgova, Iryna
AU - Lachmayer, Roland
AU - Auer, Sören
N1 - Funding Information: Acknowledgements. The results presented were obtained within the Collaborative Research Center 1153 “Process chain to produce hybrid high performance components by Tailored Forming”, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Projek-tnummer 252662854, in the subprojects A2, C2, C5 and INF.
PY - 2022/9/4
Y1 - 2022/9/4
N2 - The development of a novel manufacturing process chain is a complex scientific challenge and requires interdisciplinary and inter-institutional collaboration. Data need to be exchanged continuously between involved researchers in order to coordinate between individual process steps and to identify cause-effect relationships within the process. This publication describes an approach to provide seamless digital access to quality-related data and to further structure, semantically annotate and link process- and quality-relevant data. It uses a domain-specific ontology called Visual Inspection Ontology embedded in a Knowledge Management System to support the documentation of a quality-determining process. The ontology is applied to a use case from the development of a novel process chain to manufacture multi-material shafts within the Collaborative Research Centre (CRC) 1153. A workflow to establish quality control measures regarding a novel process chain for multi-material high-performance components under development based on the proposed ontology is presented.
AB - The development of a novel manufacturing process chain is a complex scientific challenge and requires interdisciplinary and inter-institutional collaboration. Data need to be exchanged continuously between involved researchers in order to coordinate between individual process steps and to identify cause-effect relationships within the process. This publication describes an approach to provide seamless digital access to quality-related data and to further structure, semantically annotate and link process- and quality-relevant data. It uses a domain-specific ontology called Visual Inspection Ontology embedded in a Knowledge Management System to support the documentation of a quality-determining process. The ontology is applied to a use case from the development of a novel process chain to manufacture multi-material shafts within the Collaborative Research Centre (CRC) 1153. A workflow to establish quality control measures regarding a novel process chain for multi-material high-performance components under development based on the proposed ontology is presented.
KW - Human machine interaction
KW - Knowledge management system
KW - Sample monitoring
KW - Semantic annotation
KW - Tailored Forming
UR - http://www.scopus.com/inward/record.url?scp=85137974055&partnerID=8YFLogxK
U2 - 10.15488/13181
DO - 10.15488/13181
M3 - Conference contribution
AN - SCOPUS:85137974055
SN - 9783031162800
T3 - Lecture Notes in Networks and Systems
SP - 415
EP - 424
BT - Advances in System-Integrated Intelligence
A2 - Valle, Maurizio
A2 - Lehmhus, Dirk
A2 - Gianoglio, Christian
A2 - Ragusa, Edoardo
A2 - Seminara, Lucia
A2 - Bosse, Stefan
A2 - Ibrahim, Ali
A2 - Thoben, Klaus-Dieter
PB - Springer Science and Business Media Deutschland GmbH
CY - Cham
T2 - 6th International Conference on System-Integrated Intelligence, SysInt 2022
Y2 - 7 September 2022 through 9 September 2022
ER -