Wang, Yuxi ; Bretones Cassoli, Beatriz ; Metternich, Joachim
Hrsg.: Herberger, David ; Hübner, Marco (2023)
Building a knowledge graph from deviation documentation for problem-solving on the shop floor.
5th Conference on Production Systems and Logistics. Stellenbosch, South Africa (14.11. - 17.11.2023)
doi: 10.15488/15244
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The description of deviations on the shop floor includes information about the deviation itself, possible causes and countermeasures. This information about current and already processed deviations and problems is a valuable source for future activities in the context of problem-solving and deviation management. However, extracting information from unstructured textual data is challenging. Furthermore, the relationships among the heterogeneous data are hard to represent. This paper proposes a framework to extract the knowledge contained in the deviation documentation and store it in a knowledge graph as triples. The proposed knowledge graph can then be used for the decision support system in production and will support more application scenarios in shop floor management in the future.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Herausgeber: | Herberger, David ; Hübner, Marco |
| Autor(en): | Wang, Yuxi ; Bretones Cassoli, Beatriz ; Metternich, Joachim |
| Art des Eintrags: | Bibliographie |
| Titel: | Building a knowledge graph from deviation documentation for problem-solving on the shop floor |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Hannover |
| Verlag: | publish-Ing |
| Buchtitel: | Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 2 |
| Veranstaltungstitel: | 5th Conference on Production Systems and Logistics |
| Veranstaltungsort: | Stellenbosch, South Africa |
| Veranstaltungsdatum: | 14.11. - 17.11.2023 |
| DOI: | 10.15488/15244 |
| URL / URN: | https://www.repo.uni-hannover.de/handle/123456789/15364 |
| Kurzbeschreibung (Abstract): | The description of deviations on the shop floor includes information about the deviation itself, possible causes and countermeasures. This information about current and already processed deviations and problems is a valuable source for future activities in the context of problem-solving and deviation management. However, extracting information from unstructured textual data is challenging. Furthermore, the relationships among the heterogeneous data are hard to represent. This paper proposes a framework to extract the knowledge contained in the deviation documentation and store it in a knowledge graph as triples. The proposed knowledge graph can then be used for the decision support system in production and will support more application scenarios in shop floor management in the future. |
| Freie Schlagworte: | decision support system, deviation management, knowledge graph, shop floor management |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > CiP Center für industrielle Produktivität 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > Management industrieller Produktion |
| Hinterlegungsdatum: | 11 Jan 2024 13:01 |
| Letzte Änderung: | 11 Jan 2024 13:06 |
| PPN: | 514626852 |
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