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One of the most important processes in the
manufacturing sector is the quality control process. The
measurement data in this area is very large, and as the volume of
data increases, the rate that people inevitably understand is
decreasing. Variations are the enemy of quality and there is
variation in everything. A better understanding of the quality
process can be achieved using appropriate data mining tools and
reasoning concepts. In this study, a study was carried out using
the data visualization tool of data mining to monitor the
production quality of the products on the data received from an
automotive company in Turkey.
International Symposium on Industry 4.0 and Applications
ISIA
Sinan Toklu
Hikmet Canlı