Visplore enables process and reliability engineers to explain problems within minutes and to identify improvements beyond expectations.
“Visplore enables our process engineers to analyze data from our Aveva PI Systems deeper. This provides important insights and supports more and more Mondi Sites in continuous process optimization tasks.”
Wolfgang Meyer
Head of Production Solutions,
Mondi AG
“With Visplore, we reduced the time for analyzing years of data from days to 5 minutes”
Thomas Reiterer
Head of Material Testing Leoben,
RHI Magnesita
Visplore makes root-cause analyses intuitive and transparent. In particular for complex processes with many influencing variables, frequent changes and data from multiple sources. Insightful visualization and intelligent suggestions help process engineers to quickly identify even unsuspected causes. The result is greater process stability and more uptime.
Many processes show a high degree of variability due to different products and operation conditions. Visplore tackles this variability in a unique way and provides easy-to-use tools for controlling process stability, conformity, and efficiency. Coupled charts provide transparency across different process conditions, and allow for drill-down and comparison of products at one click. This saves numerous valuable hours of your process engineers, and reduces time-to-root cause significantly.
Do you need to identify critical conditions across many pumps, heat exchangers, or pipes? Which impact do production assets have on the product quality? How does the usage and energy efficiency differ between machines? Visplore offers unique possibilities to oversee and analyze multiple assets from the PI AF framework. Easily switch between assets and compare assets deeply based on KPIs, trends, statistics, correlations, and pattern profiles. For optimal asset performance and reliability. Read more about Root-Cause-Analysis in Visplore here.
Visplore boosts the analytics of batch processes. Only Visplore allows your process engineers to directly correlate KPIs of results to entire profiles of batch phases from your PI data – also across multiple tanks and reactors. This way, you easily spot critical process variabilities that affect performance, yield, and other KPIs. Capture this information as profile bands for golden batches, and to optimize the process overall.
Quality prediction enables reducing resource waste and meeting customer requirements. Visplore makes quality modelling easy also for non-data scientists. Integrate data from PI, files, and ERP data bases within minutes. The modelling step accounts for differences between products, and makes the impact of variations understandable. This is the key to continuously improve quality and OEE.
