Many companies already capture production data, downtime or performance metrics. Yet it often remains unclear whether this data is truly reliable and whether the right measures are derived from it.
An OEE analysis is only as good as its foundation: Which data is captured? Are disruption reasons unambiguous? Do employees and managers understand the metrics? And do the analyses actually lead to concrete improvements?
I support you in building, reviewing and further developing OEE, performance and loss data so they become a reliable basis for operational steering.
Together with you, I analyse how performance, downtime and quality data are captured, evaluated and used today. The focus is not only on the OEE metric itself, but on the entire foundation behind it: data capture, equipment structure, disruption-reason logic, responsibilities, analysis and deriving measures.
The goal is a system that not only makes losses visible, but also shows clearly where they arise, who can influence them and which measures make sense.
This turns a mere metric into a reliable steering foundation for production, maintenance, quality and operational leadership.