Big data process analytics for continuous process improvement in manufacturing

Big Data, 2015.

Cited by: 15|Bibtex|Views14|DOI:https://doi.org/10.1109/BigData.2015.7363900
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Other Links: academic.microsoft.com|dblp.uni-trier.de|dl.acm.org

Abstract:

One of the most important challenges in manufacturing is the continuous process improvement that requires new insights about the behavior/quality control of processes in order to understand the optimization/improvement potential. The paper elaborates on usage of big data-driven clustering for an efficient discovering of real-time unusuali...More

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