This session breaks down what’s required to move from concept to value: workcentre definitions, equipment scope, downtime categorisation, data sources, and the roles maintenance and operations must play. It also clarifies what Maintmaster supports and what needs to be defined internally.

You’ll see how clear definitions make OEE data usable for maintenance and operational decisions.

Your maintenance logs contain the answers to recurring failures — but they’re buried in messy notes and tribal knowledge. In this webinar, discover how Maintmaster MI uses AI to structure work order comments, detect recurring fault patterns, and build a searchable Troubleshooter database from the data you already have. Learn how to reduce MTTR, retain critical know-how, and move from reactive firefighting to proactive, prevention-driven maintenance.

Your OEE figure is reported every morning. But can you trust it?

Many production teams track OEE, but the same losses keep coming back. Often, the problem is not the people. It is the data behind the number.

In this session, Rob Brannan and Thomas McAlindon show why spreadsheet-based OEE can read 25 to 30% higher than what is actually happening on the line, and what that gap could be costing you.

You will learn how to test if your OEE data can be trusted, why OEE figures drift from reality, and how to improve downtime categorisation so your team can take action next week.