RHI Magnesita, world-leader in refractories, operates many production sites worldwide and produces a wide range of refractory products. Each product is associated with numerous quality characteristics, which results in thousands of individual trends that need to be monitored.
Quality teams must detect developments such as increasing non-conformities, declining CpK values, systematic deviations from setpoints, or unusual outliers. Traditional SPC approaches require engineers to manually inspect large numbers of individual charts, making it a challenge to see where attention is actually needed.
Measurement frequencies also vary significantly across the different products. In such a complex environment, emerging quality problems can remain unnoticed for too long, potentially leading to scrap, rework, production inefficiencies, or customer complaints.
To address this challenge, RHI Magnesita uses Visplore quality analytics templates that automatically retrieve quality data from the company’s data warehouse — covering years of data up to today.
A heatmap highlights combinations of quality inspection characteristics and products with high non-conformity rates. Selecting a cell shows comparisons across plants and corresponding trends.
Today, dozens of quality professionals worldwide use Visplore to monitor production quality. Instead of manually reviewing thousands of SPC charts, engineers can now immediately identify where potential quality issues are emerging and investigate them interactively.
This creates significantly greater transparency across plants and products while reducing the time required for routine quality monitoring. Quality teams react earlier, investigate faster, and focus their efforts where it matters most.
→ Quality teams can focus on solving problems rather than searching for them.
