Manufacturing performance measurement is the structured use of metrics to assess how well production operations are performing against defined objectives. It commonly covers efficiency, throughput, quality, delivery, cost, equipment use, labor use, and other operational signals.
In industrial systems, these measurements are often drawn from MES, ERP, QMS, SCADA, maintenance, and planning systems. Common examples include OEE, yield, scrap rate, rework, cycle time, downtime, schedule adherence, first-pass quality, and cost of poor quality. The specific measures depend on the production model, product risk, regulatory expectations, and management needs.
Manufacturing performance measurement is not the same as performance improvement. Measurement provides the data and indicators used to understand current performance, detect variation, and support decisions. Improvement methods such as Lean, Six Sigma, CAPA, or kaizen may use those measures, but they are separate activities.
The term should also be distinguished from purely financial reporting. Financial measures may be part of the performance view, but manufacturing performance measurement usually includes operational and quality data from the shop floor and supporting systems.