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