Micro-Losses Invisible in Aggregates
Daily reports showed total downtime of 2-3 hours, attributed to 'normal operation.' Line supervisors experienced constant micro-stops but had no structured data on frequency, duration, or patterns. Each incident felt minor; accumulated, they were massive.
What Became Visible
Real-time micro-stop detection captured every 3-8 minute stoppage. Analysis showed 6-8 micro-stops daily, averaging 28 minutes accumulated. The facility calculated: 28 min × 250 operational days = 116 hours = 4.8 days annually. But seasonal variation and multi-year compounding suggested 12+ days capacity loss opportunity.
Systematic Micro-Stop Prevention
With micro-stop patterns visible, the facility identified root causes: pressure fluctuation (40% of stops), sensor intermittency (35%), gripper wear (15%), material jams (10%). Targeted prevention—pressure stabilization, sensor replacement, preventive gripper maintenance—eliminated 75% of micro-stops.
How it worked: Real-time micro-stop logs created a searchable incident history. Pattern analysis revealed that certain product runs generated more micro-stops, certain machines had seasonal micro-stop increases, and certain shift-times had distinct patterns. These patterns guided targeted prevention.
Results
from micro-stop elimination
vs 50% previously
Micro-stops are silent losses that normalize quickly. When made visible at real-time, patterns emerge—and patterns are preventable.
Operational Reality
Micro-stops had always happened. Visibility didn't create the solution—it revealed the pattern, enabling systematic prevention instead of reactive management.