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MTZ worldwide

Self-learning Algorithms in Automotive Production

  • 01-02-2023
  • In the Spotlight
Published in:
Author
Dieter Beste
Published in
MTZ worldwide | Issue 2-3/2023

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Excerpt

The article delves into the transformative impact of self-learning algorithms in automotive production. It discusses how AI is being used to predict quality issues and maintain machines proactively, drawing on examples from BMW's light metal foundry and Audi's press shop. The text also explores the challenges and opportunities presented by the digital transformation in the automotive industry, emphasizing the need for intelligent interaction between OEMs and suppliers. By highlighting innovative AI methods like deep learning and intelligent anomaly detection, the article offers insights into the future of automotive production and the role of AI in enhancing efficiency and quality.
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Title
Self-learning Algorithms in Automotive Production
Author
Dieter Beste
Publication date
01-02-2023
Publisher
Springer Fachmedien Wiesbaden
Published in
MTZ worldwide / Issue 2-3/2023
Electronic ISSN: 2192-9114
DOI
https://doi.org/10.1007/s38313-023-1442-7

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