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Machines 2018, 6(4), 45; https://doi.org/10.3390/machines6040045

Customized Knowledge Discovery in Databases methodology for the Control of Assembly Systems

1
Bosch VHIT S.p.A., Strada Vicinale delle Sabbione, 5-26010 Offanengo (Cremona), Italy
2
Politecnico di Milano, Piazza Leonardo da Vinci, 32-20133 Milan (Milan), Italy
*
Author to whom correspondence should be addressed.
Received: 31 August 2018 / Revised: 17 September 2018 / Accepted: 26 September 2018 / Published: 2 October 2018
(This article belongs to the Special Issue Artificial Intelligence for Cyber-Enabled Industrial Systems)
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Abstract

The advent of Industry 4.0 has brought to extremely powerful data collection possibilities. Despite this, the potential contained in databases is often partially exploited, especially focusing on the manufacturing field. There are several root causes of this paradox, but the crucial one is the absence of a well-established and standardized Industrial Big Data Analytics procedure, in particular for the application within the assembly systems. This work aims to develop a customized Knowledge Discovery in Databases (KDD) procedure for its application within the assembly department of Bosch VHIT S.p.A., active in the automotive industry. The work is focused on the data mining phase of the KDD process, where ARIMA method is used. Various applications to different lines of the assembly systems show the effectiveness of the customized KDD for the exploitation of production databases for the company, and for the spread of such a methodology to other companies too. View Full-Text
Keywords: Knowledge Discovery in Databases; Industrial Big Data; assembly systems; data mining; ARIMA Knowledge Discovery in Databases; Industrial Big Data; assembly systems; data mining; ARIMA
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Storti, E.; Cattaneo, L.; Polenghi, A.; Fumagalli, L. Customized Knowledge Discovery in Databases methodology for the Control of Assembly Systems. Machines 2018, 6, 45.

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