Precision Manufacturing Corp: 28% OEE Improvement
How a Tier 1 automotive parts manufacturer cut unplanned downtime by 71% and added $1.4M in annual output capacity using predictive maintenance and digital twin simulation.
Company Background
Precision Manufacturing Corp is a Tier 1 automotive parts supplier producing machined components for three of the largest OEMs in North America. With 14 CNC machining centres running 24/7 and $62M in annual revenue, their production efficiency directly determines contract profitability. A single unplanned stoppage on a critical line can cost $18,000 per hour in lost OEM output.
The Challenge
Overall Equipment Effectiveness (OEE) was running at 61% against an industry benchmark of 85% for world-class manufacturers. The primary driver was availability loss — unplanned downtime averaging 4.2 hours per line per week. Maintenance was reactive: the team responded to failures rather than preventing them.
With OEM customers imposing just-in-time delivery schedules with zero tolerance for delays, a single equipment failure routinely triggered expedite costs and contractual penalties.
The Solution
IoT Sensor Instrumentation
Vibration, temperature, and power-draw sensors fitted to all 14 machining centres, streaming real-time data to the Jandojegs platform. Baseline failure signatures established in week 1.
Predictive Failure Models
ML models trained on 18 months of maintenance records and sensor data to identify pre-failure signatures. Average early warning lead time: 11 days before failure.
Digital Twin Simulation
Digital replicas of each production line used to test maintenance schedule changes, throughput optimisations, and capacity scenarios without touching the live floor.
Automated Work Order Generation
Predicted maintenance needs auto-generate work orders in the CMMS, with parts pre-ordered and technicians scheduled before failure occurs. Emergency work orders fell 84%.
The Outcome
OEE improved from 61% to 78% within 5 months — a 28% relative improvement. Unplanned downtime fell 71%, from 4.2 hours per line per week to 1.2 hours. The recovered capacity unlocked $1.4M in additional annual output without capital investment in new equipment.
Contractual penalty payments fell to zero in Q3 and Q4 following implementation. Two OEM customers extended their supply agreements citing the improved reliability.
"OEE went from 61% to 78%. Unplanned downtime is down 71%. The digital twin alone has helped us avoid two capital investments by showing us we had more capacity than we thought. This paid back in 4 months."
VP Operations
Precision Manufacturing Corp
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