Abstract
Many companies are currently tackling on reforms to Digital Transformation.
However, the conversion of manufacturing sites to DX does not proceed as expected. For example, even if IoT is introduced and data is collected, utilization of the data does not progress as expected.
DN7 was devised as a solution to this problem. In this paper, I would like to discuss data-driven quality control and agile improvement efforts by introducing a series of steps from discovering problems hidden in data using DN7 to linking them to improvement proposals.
