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
Article
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.
| Item Type: | Article |
|---|---|
| Erschienen: | 2021 |
| Creators: | Müller, Marvin ; Lee, Ji-Ung ; Frick, Nicholas ; Stangier, Lorenz ; Gurevych, Iryna ; Metternich, Joachim |
| Type of entry: | Bibliographie |
| Title: | Extracting problem related entities from production chats to enhance the data base for assistance functions on the shop floor |
| Language: | English |
| Date: | 20 October 2021 |
| Publisher: | Elsevier B.V. |
| Journal or Publication Title: | Procedia CIRP |
| Volume of the journal: | 103 |
| DOI: | 10.1016/j.procir.2021.10.037 |
| URL / URN: | https://www.sciencedirect.com/science/article/pii/S221282712... |
| 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. |
| Uncontrolled Keywords: | Digital shop floor management, entity recognition, natural language processing, UKP_a_DLinNLP; UKP_a_TexMinAn, UKP_p_texprax |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) |
| Date Deposited: | 05 Nov 2021 07:04 |
| Last Modified: | 05 Nov 2021 07:04 |
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