Invisible Micro Losses
Daily reports showed 2-3 hours total downtime, attributed to 'normal operation.' Line supervisors experienced constant brief stoppages but had no structured data. Each 3-minute jam felt like 'part of the job,' not a loss to prevent.
What Became Visible
Real-time micro-stop detection captured every 2-8 minute stoppage. Analysis revealed 6-8 micro-stops daily averaging 28 minutes accumulated. Calculated annually: 28 min × 250 days = 116 hours ≈ 4.6 days. Accounting for seasonal variation and multi-month patterns, actual annual capacity loss was 12+ days—₹16 lakhs production value.
Systematic Micro-Stop Prevention
Root-cause analysis of micro-stop log revealed patterns: 40% pressure fluctuation, 35% sensor intermittency, 15% gripper wear, 10% material jams. Targeted prevention addressed each cause.
How it worked: Real-time micro-stop detection + root-cause analysis enabled targeted elimination: pressure stabilization, sensor replacement, gripper maintenance, material-feed tuning. Prevention focus eliminated 75% of micro-stops.
Results
from micro-stop elimination
vs 50% previously
Micro-stops normalize quickly. When made visible in real-time, patterns emerge—and patterns are preventable.
Operational Reality
These losses had always occurred. Visibility didn't create the solution—it revealed the pattern, enabling systematic prevention.