Plant OEE
Corvane Industries
Scored from your answers. Not a comparison with other companies.
Your answers show basic gaps in how this number is defined, owned or built.
An AI tool comparing your four plants on overall equipment effectiveness (OEE) would compare four numbers that are not built the same way, because not every system applies the written definition. It would rank plants and report trends that may really be differences in how each plant counts. With more than ten days before people trust the number, it would also be working from data that is already out of date.
The definition has one owner. Each plant's number has another.
Your ops excellence team owns how OEE is defined, each plant manager owns their plant's figure, and the seven or more systems feeding it do not all apply the same rules. That split explains why the gaps surface at the quarterly business review: it is the first time all four plants are put side by side. Until then, each plant's number looks consistent on its own, so nobody has a reason to question it.
Ask each plant manager how their plant counts planned downtime and changeovers, and write the four answers side by side.
For one recent week, list which systems each plant uses for availability, performance and quality.
Take the two plants with the biggest gap at the last quarterly review and rebuild one week for each, following the written definition exactly.
Is the written definition applied the same way in every system, and who checks?
Why do we first see plant-to-plant gaps at the quarterly review and not sooner?
Which of the seven or more systems could we stop using for OEE?
This page looks at one number and six questions about how it gets made. A Structured Review looks across all five readiness areas (strategy, data, systems, governance and change) with your leadership team in half a day.
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