A group of key metrics used to quantify manufacturing effectiveness and losses, including OEE, Non-Productive Time, and Cost of Poor Quality.
Operational performance metrics (OEE, NPT, COPQ) are a group of commonly used measures that quantify how effectively a manufacturing operation uses time, equipment, and resources, and how much loss is incurred through inefficiency and poor quality.
OEE is a composite metric that expresses how well a manufacturing asset or line is utilized compared to its full potential. It typically combines three factors:
In industrial and regulated environments, OEE is often calculated per machine, line, or work center and may be captured automatically from OT systems and MES, then summarized in plant or enterprise dashboards.
Non-Productive Time (NPT) commonly refers to time when a resource (equipment, line, or labor) is scheduled or available for production but is not producing saleable product. It highlights where planned or unplanned events prevent productive work.
NPT may include:
In digital manufacturing systems, NPT is often derived from machine states, operator input, or MES dispatch records and is used alongside OEE to identify loss categories more precisely.
Cost of Poor Quality (COPQ) is a financial metric that captures the costs associated with not meeting quality requirements. It typically aggregates direct and indirect costs related to defects and nonconformances.
Common COPQ components include:
In regulated manufacturing, COPQ is usually calculated using data from quality management systems (QMS), ERP, and MES, tying defects and events to labor, material, and overhead costs.
In digital manufacturing environments, OEE, NPT, and COPQ are often calculated from integrated data across OT systems, MES, ERP, and QMS. They appear in:
These metrics provide complementary views of performance: OEE focuses on equipment effectiveness, NPT on time losses, and COPQ on financial impact of quality issues.