Müller, Marvin ; Lee, Ji-Ung ; Frick, Nicholas ; Stangier, Lorenz ; Gurevych, Iryna ; Metternich, Joachim (2021)
Extracting problem related entities from production chats to enhance the data base for assistance functions on the shop floor.
In: Procedia CIRP, 103
doi: 10.1016/j.procir.2021.10.037
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
This paper presents an approach to recognize problem related entities in production chats to structure the informal communication and include arising problems into digital shop floor management and its assistance functions. Requirements are derived from employee surveys, company surveys and from union experts. Based on annotated data that has been collected during a simulation in the process learning factory ``Center for Industrial Productivity'' (CiP) at the Technical University of Darmstadt, approaches for identifying and structuring problem recognition and solution in production chat logs are evaluated. Finally, a system design is suggested to utilize such an entity recognition in an industrial chat application to improve digital shop floor management systems.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Müller, Marvin ; Lee, Ji-Ung ; Frick, Nicholas ; Stangier, Lorenz ; Gurevych, Iryna ; Metternich, Joachim |
| Art des Eintrags: | Bibliographie |
| Titel: | Extracting problem related entities from production chats to enhance the data base for assistance functions on the shop floor |
| Sprache: | Englisch |
| Publikationsjahr: | 20 Oktober 2021 |
| Verlag: | Elsevier B.V. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Procedia CIRP |
| Jahrgang/Volume einer Zeitschrift: | 103 |
| DOI: | 10.1016/j.procir.2021.10.037 |
| URL / URN: | https://www.sciencedirect.com/science/article/pii/S221282712... |
| Kurzbeschreibung (Abstract): | This paper presents an approach to recognize problem related entities in production chats to structure the informal communication and include arising problems into digital shop floor management and its assistance functions. Requirements are derived from employee surveys, company surveys and from union experts. Based on annotated data that has been collected during a simulation in the process learning factory ``Center for Industrial Productivity'' (CiP) at the Technical University of Darmstadt, approaches for identifying and structuring problem recognition and solution in production chat logs are evaluated. Finally, a system design is suggested to utilize such an entity recognition in an industrial chat application to improve digital shop floor management systems. |
| Freie Schlagworte: | Digital shop floor management, entity recognition, natural language processing, UKP_a_DLinNLP; UKP_a_TexMinAn, UKP_p_texprax |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) |
| Hinterlegungsdatum: | 05 Nov 2021 07:04 |
| Letzte Änderung: | 05 Nov 2021 07:04 |
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