Self-service analytics for Batch Processes

This video showcases TrendMiner, a self-service analytics software used by engineers to improve manufacturing processes. Through several practical examples, it demonstrates a consistent problem-solving workflow:

• Identify a Problem: An engineer starts with a recurring issue, such as production bottlenecks, unexpected equipment shutdowns, or batches failing quality control.
• Analyze Historical Data: Using TrendMiner's visual tools, they easily search and compare historical data from periods when the process ran perfectly ("golden" runs) against data from when the failures occurred.
• Find the Root Cause: By overlaying these different periods, they can quickly spot the subtle changes in process variables (like pressure or temperature) that are the true root cause of the problem.
• Prevent Future Issues: Once the problematic pattern is identified, they create a "fingerprint" of it and set up a monitor. This monitor acts as an early warning system, automatically alerting operators if a live process starts to show the same pattern, giving them time to intervene before a failure occurs.

In short, the video shows how TrendMiner empowers plant personnel to use their own data to diagnose issues, find root causes, and proactively prevent downtime, leading to significant gains in efficiency and cost savings.