Adaptive parameter setting for manufacturing processes

Sonja Straßer, Herbert Jodlbauer, Lukas Schimpelsberger

Research output: Contribution to journalArticlepeer-review

Abstract

In manufacturing processes, the selection of optimal process parameters can be a difficult task, which often relies on the experience of highly skilled workers. Individual parameter settings for each part can further increase the quality and reduce scrap. Machine learning methods offer the opportunity to generate models based on manufacturing data to predict optimal parameter settings.

Translated title of the contributionAdaptive parameter setting for manufacturing processes
Original languageGerman
Pages (from-to)150-153
Number of pages4
JournalZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
Volume114
Issue number3
DOIs
Publication statusPublished - Mar 2019

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