Shift Variance in Micro-Stops
The same production line achieved 2 micro-stops/day on Shift 1, 4 micro-stops/day on Shift 2, and 6 micro-stops/day on Shift 3. This 3x variance suggested the variance was operator/shift methodology, not equipment.
What Became Visible
Analysis of Shift 1's operation revealed systematic operator practices: proactive equipment monitoring every 15 minutes, immediate parameter adjustment when drift was detected, consistent material staging. Shift 3 operated more passively—addressing issues after micro-stops occurred rather than preventing them.
Operator Methodology Standardization
Shift 1's proactive monitoring and parameter-adjustment procedures were documented and trained to all shifts.
How it worked: Operator training on proactive monitoring reduced micro-stop occurrences by preventing the parameter drift that triggered jams.
Results
standardized vs 2-6 previous
across all shifts
from variance elimination
Micro-stop variance between shifts indicates methodology variance. Best-shift procedures, when systematized, become the new baseline.
Operational Reality
Shift 1 wasn't working harder—they had systematic procedures. Training other shifts to these procedures standardized performance.