Separate equipment loss into availability, performance, and quality.
Overall equipment effectiveness combines availability, performance, and quality into one framework for understanding how much planned production time becomes good output at the intended rate. OEE is most useful when the underlying loss categories are also visible.
Measure the loss before choosing the improvement.
Constraints, idle time, scheduled availability, microstops, speed loss, quality loss, setup, maintenance, and recovery all affect how much useful production the system delivers.
Improve the part of the system that is actually limiting output.
Local efficiency can be misleading. The best improvement target is the recurring loss that changes total production output, lead time, quality, or reliability.
CRIT-AAvailability Loss
Breakdowns, setup, changeovers, waiting, and other stops reduce the portion of planned production time that equipment actually runs.
CRIT-BPerformance Loss
Slow cycles, microstops, reduced speed, feeding problems, and minor interruptions reduce output even when the machine is technically running.
CRIT-CQuality Loss
Scrap, startup rejects, rework, and failed product reduce the portion of machine cycles that become acceptable output.
CRIT-DUse the Components
The total OEE value can hide different problems, so availability, performance, and quality should always be reviewed separately.
Make constraints and lost time visible.
These diagrams focus on queue growth, productive time, OEE loss layers, downtime events, and recurring loss categories.
OEE layers.
Planned time is reduced first by availability loss, then by performance loss, then by quality loss before it becomes good output.
Loss trend.
Tracking the components over time makes it easier to see which loss category is changing and where improvement work is paying off.
Relevant production and equipment resources.
External references are selected from the approved TempoJS manufacturing link inventory and matched directly to the efficiency topic.
OEE is useful when it points to the real loss. Availability, performance, and quality should be measured separately so teams know whether to attack downtime, slow cycles, or rejected output.