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 contribution
|Adaptive parameter setting for manufacturing processes
|Number of pages
|ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
|Published - Mar 2019