Data-driven Analysis of Product State Propagation in Manufacturing Systems Using Visual Analytics and Machine Learning

The importance of quality and efficiency has increased in recent years. Moreover, the rise of computational power and the development of advanced analytics has enabled the industry to enhance the performance of manufacturing systems. Therefore, further transparency of intermediate product states is...

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Vydáno v:	Procedia CIRP Ročník 93; s. 449 - 454
Hlavní autoři:	Filz, Marc-André, Gellrich, Sebastian, Herrmann, Christoph, Thiede, Sebastian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 2020
Témata:	Intermediate Product States Machine Learning Manufacturing Systems Product Propagation Product State Classes Visual Analytics Visual Analytics Intermediate Product States Product Propagation Product State Classes Machine Learning Manufacturing Systems
ISSN:	2212-8271, 2212-8271
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