Anwendungen des maschinellen Lernens in der Produktion aus Auftrags- und Produktsicht: Ein Überblick
Research output: Journal contributions › Journal articles › Research
Authors
Machine learning as a subfield of artificial intelligence can contribute to accelerating the design of processes in manufacturing, reducing cycle times, improving quality, and making better use of production capacities. This article provides a systematized overview of machine learning applications for product- and order-related processes and supports practitioners in identifying application areas in a focused manner and exploiting value-added potential. © 2021 Walter de Gruyter GmbH.
| Translated title of the contribution | Applications of machine learning in manufacturing from a job order and product perspective an overview |
|---|---|
| Original language | German |
| Journal | ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb |
| Volume | 116 |
| Issue number | 5 |
| Pages (from-to) | 358-362 |
| Number of pages | 5 |
| ISSN | 0947-0085 |
| DOIs | |
| Publication status | Published - 19.05.2021 |
- Engineering - Machine Learning, Order-related proceses, Product-related processes, Production control, production planning