Unexplained Cycle-Time Variance
Cycle-time target: 45 seconds. Actual range: 45-54 seconds. This 20% variance meant throughput was unpredictable. Some cycles took 20% longer for unknown reasons.
What Became Visible
Real-time cycle-time tracking with parameter logging revealed: 40% of variance from material state (crimp consistency, connector alignment), 35% from equipment parameter drift (air pressure, temperature), 15% from operator technique variation, 10% from environmental factors (ambient temperature).
Cycle-Time Standardization
Material state standardization, equipment parameter tuning, operator technique training, and environmental control implemented. Each intervention targeted a variance source.
How it worked: Real-time cycle-time + equipment parameter correlation enabled identification of drift causes. Targeted interventions addressed each source separately.
Results
throughput now predictable
from cycle-time consistency
from cycle-time optimization
Cycle-time variance indicates root-cause variance, not random variation. Parameter correlation reveals which causes matter most.
Operational Reality
Cycle-time variance had been normalized. Visibility enabled systematic elimination of the sources.