NRW · DACH · Europe
Improve OEE: metrics that actually steer performance
OEE (Overall Equipment Effectiveness) only helps if KPIs are decision-ready: clear definitions, clean loss logic and an action process that runs in shopfloor cadence.
Typical result: OEE +5% to +15% – depending on data quality, loss categories, discipline in routines and implementation level.
Why OEE often fails in practice
- Data exists but is not consistent (definitions and boundaries are unclear)
- Losses are “mixed” – root causes remain blurred
- Actions are not followed up (no review cadence, no accountability)
- Shopfloor boards exist, but they do not actually steer performance
Our Approach
- KPI design: OEE structure plus clear definitions (availability / performance / quality)
- Loss logic: cause tree, categories and capture rules
- Shopfloor routine: board, daily / weekly reviews and escalation path
- Action control: backlog, owners and effectiveness checks
Approach
- Assessment: data sources, definitions, current reporting and shopfloor routines
- Quick wins: visibility of top losses and first action packages
- Anchoring: leadership coaching, review cadence and audit mechanisms
FAQ
Is a dashboard enough?
A dashboard is useful – but without routines and accountability, it remains reporting without steering.
Can you start OEE without “perfect data”?
Yes. We start pragmatically: clear rules first, then step-by-step improvement of data quality.
Reply typically within 1 business day.