Machine learning in manufacturing: advantages, challenges, and applications

The nature of manufacturing systems faces ever more complex, dynamic and at times even chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to utilize all means available. One area, which saw fast pace developments in terms...

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Bibliographic Details
Main Authors: Thorsten Wuest, Daniel Weimer, Christopher Irgens, Klaus-Dieter Thoben
Format: Article
Language:English
Published: Taylor & Francis Group 2016-01-01
Series:Production and Manufacturing Research: An Open Access Journal
Subjects:
Online Access:http://dx.doi.org/10.1080/21693277.2016.1192517