Packaging Manufacturer Eliminates 67% of Unplanned Downtime
The Challenge
A packaging manufacturer operating 24/7 production lines experienced frequent unplanned downtime (averaging 14 hours/week), inconsistent quality leading to 5.2% defect rate, reactive maintenance costing $85K/month, and inability to predict production capacity for customer commitments.
Our Solution
Service Robotics implemented predictive maintenance AI using IoT sensor arrays on critical equipment, computer vision defect detection system running at line speed, production optimization algorithms that balance throughput with quality parameters, and real-time capacity planning dashboard with predictive analytics.
The Results
• 67% reduction in unplanned downtime (now 4.6 hours/week)
• Defect rate decreased from 5.2% to 0.8%
• Maintenance costs reduced 41% through predictive scheduling ($35K/month savings)
• Overall equipment effectiveness (OEE) improved from 68% to 87%
• Production throughput increased 23% on existing lines
• Customer order accuracy improved to 98.5%
• Payback period: 3.8 months