Is your factory's digital transformation only ending with "visualization"?
Don't stop at visualization. AI proposes the "next improvement" and supports on-site improvement PDCA.
Factory DX: Are you just stopping at "visualization"? The operational rates and downtime of equipment have become visible. Data can now be accumulated. Still, are there not challenges such as: - Data is visible, but it's unclear where improvements should be made - Analysis and improvements depend on the experience and intuition of skilled workers - It is difficult to identify the causes of defects or equipment stoppages - There is a lack of time and personnel to continue improvement activities What is important in factory DX is not just "seeing" the data, but leveraging it for improvements. MI's "Improvement DX" uses AI to analyze data collected from equipment and propose the "next steps" that lead to improvements. Data collection and visualization → AI analysis and improvement proposals → On-site improvements → Effect verification → Next improvements AI analyzes and proposes, while the site implements improvements. By confirming the results with data and linking them to the next improvements, we continuously cycle through the improvement PDCA. What we aim for with Improvement DX is not just to see data, but to enhance the factory's profits. We connect various improvement activities in the factory, such as productivity enhancement, quality improvement, and energy saving, to profit growth. [Free resource "Improvement DX Practical Guide" now available]
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