Six common mistakes in measuring OEE
Planned time, ideal cycle, counter resets, downtime reasons, shift boundaries and aggregation: six data mistakes that make OEE arguable, and how to fix them.
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OEE, energy, maintenance and traceability: turning counter, state and event data into production information you can interpret.
The value of production data depends on how it is defined: planned time, ideal cycle, counter resets, batch and equipment identifiers. Data collected before these definitions are settled produces results open to argument.
This hub presents the guides on OEE, energy monitoring, maintenance and traceability together with concepts such as SCADA, MES and the historian.
Implementation guides
Calculate availability, performance and quality for the same time window and the same definition of production.
Read the guideCombine meter readings with production quantities and matching time windows to create meaningful energy indicators.
Read the guideConnect running hours and process measurements to CMMS or SAP PM while controlling repeated alarms and ownership.
Read the guideTurn material movements into queryable events for food, automotive and process manufacturing.
Read the guideArticles
Planned time, ideal cycle, counter resets, downtime reasons, shift boundaries and aggregation: six data mistakes that make OEE arguable, and how to fix them.
Read the articleRelated solutions
Make production losses visible with consistent data.
Production managers and continuous-improvement teamsFlow & project scope Meter / OPC UA → SQL / InfluxDBUnderstand consumption in its production context.
Energy managers and plant engineersFlow & project scope Runtime / sensor → CMMS / SAP PMTurn an alarm into a traceable action.
Maintenance teams and asset managersFlow & project scope Barcode / RFID / OPC UA → MES / ERP / SQLConnect materials to the finished product.
Quality, production and logistics teamsFlow & project scopeYour next step
Share your source, destination and intended outcome. We’ll help define the project scope.