Assistance Systems Through Natural Language Processing

Implementation strategies for the shop floor

Marvin Müller, Joachim Metternich
JournalIndustrie 4.0 Management
Issue Volume 37, 2021, Edition 6, Pages 11-14
Open Accesshttps://doi.org/10.30844/I40M_21-6_S11-14
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Abstract

The future of shop floor management (SFM) lies in its digitization. The visualization of key performance indicators is already supported by various providers or set up by companies themselves to save time. But particularly valuable in SFM is the sustainable problem solving, which contains the knowledge of the employees in text. Therefore, approaches from Natural Language Processing (NLP) are applied to these text data to realize assistance functions. This article provides situation-specific implementation strategies.

Keywords

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Bibliography

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