Anwendungen des maschinellen Lernens in der Produktion aus Auftrags- und Produktsicht: Ein Überblick

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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 contributionApplications of machine learning in manufacturing from a job order and product perspective an overview
Original languageGerman
JournalZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb
Issue number5
Pages (from-to)358-362
Number of pages5
Publication statusPublished - 19.05.2021

    Research areas

  • Engineering - Machine Learning, Order-related proceses, Product-related processes, Production control, production planning