A mid-size auto parts manufacturer running three production lines was stuck at 72% OEE — losing $2.1 million annually to unplanned downtime, scrap rework, and emergency maintenance that consumed 44% of total work orders. Maintenance crews tracked equipment on spreadsheets and paper logs, with no visibility into failure patterns or PM compliance. Twelve months after deploying Oxmaint's manufacturing CMMS with predictive analytics and automated work orders, OEE reached 95% — surpassing the 85% world-class benchmark — while maintenance costs dropped 28% and emergency work orders fell from 44% to 9% of total volume.
Manufacturing Plant Achieves 95% OEE After OxMaint CMMS Implementation
How a mid-size facility eliminated reactive maintenance cycles, automated work order routing, and built real-time asset monitoring that pushed OEE past world-class thresholds.
The Problem: Reactive Maintenance Killing Productivity
The plant's maintenance operation was almost entirely reactive. Equipment ran until it failed, technicians scrambled to diagnose problems without asset history, and PM schedules existed on paper but rarely got executed on time. Industry data shows reactive maintenance costs 3–5x more than preventive programs — and this facility was living that reality every week.
Before and After: The Numbers
| Metric | Before Oxmaint | After Oxmaint | Impact |
|---|---|---|---|
| Overall Equipment Effectiveness | 72% | 95% | +23 pts |
| PM Completion Rate | 58% | 96% | +38 pts |
| Emergency Work Orders | 44% of total | 9% of total | -79% |
| MTBF (Critical Assets) | 320 hours | 890 hours | +178% |
| MTTR | 4.6 hours | 1.8 hours | -61% |
| Maintenance Cost / Unit | $3.80 | $2.74 | -28% |
| Scrap Rate | 4.2% | 1.1% | -74% |
| Annual Downtime Cost | $2.1M | $620K | -70% |
Want OEE Results Like These?
See how Oxmaint's predictive analytics and automated PM scheduling can transform your plant's productivity.
Implementation: From 72% to 95% OEE in 12 Months
Asset Inventory and Baseline
340+ assets cataloged with criticality classifications. Baseline OEE, MTBF, and MTTR captured for every production line. Legacy maintenance histories digitized from paper records and spreadsheets.
PM Scheduling and Mobile Deployment
Manufacturer-recommended PM templates loaded for all critical equipment. Automated escalation activated — overdue tasks trigger supervisor alerts at 24 hours. Mobile app deployed to all 18 technicians for point-of-work completion. Sign up for Oxmaint to deploy mobile work orders for your maintenance team.
Predictive Analytics Activation
Vibration sensors and thermal monitoring connected to Oxmaint's analytics dashboard for 28 critical assets. Condition-based alerts began identifying bearing degradation, motor imbalance, and lubrication failures 2–4 weeks before failure. PM completion rate hit 91%.
Continuous Optimization
Failure pattern analysis identified three equipment categories responsible for 60% of downtime events. Targeted PM frequency adjustments and spare parts pre-positioning eliminated repeat failures. OEE crossed the 85% world-class threshold at Month 8 and reached 95% by Month 12.
Understanding the OEE Improvement
OEE measures Availability x Performance x Quality. Oxmaint improved all three components simultaneously — each compounding on the others to deliver the 23-point overall gain.
Availability: 82% to 97%
Unplanned downtime reduced by 70% through predictive alerts and automated PM scheduling. MTBF increased from 320 to 890 hours on critical assets.
Performance: 90% to 99%
Small stops and speed losses identified through real-time monitoring. Book a demo to see how equipment condition data eliminates micro-stoppages.
Quality: 97% to 99.5%
Calibration drift caught before it produced defective parts. Scrap rate dropped from 4.2% to 1.1% through condition-based maintenance keeping machines in spec.
We went from dreading every Monday morning because we knew something had broken over the weekend, to walking in knowing every asset's condition in real time. The OEE dashboard changed how our entire plant thinks about maintenance — it's no longer a cost center, it's a production multiplier.
Oxmaint Capabilities That Drove These Results
Real-Time OEE Dashboard
Availability, Performance, and Quality metrics tracked live across every production line with drill-down into individual asset performance.
Predictive Analytics
Sensor data integration with condition-based alerts identifying bearing wear, motor imbalance, and lubrication failures 2–4 weeks before they cause downtime.
Automated PM Scheduling
Manufacturer-recommended maintenance templates with escalation cascades that ensure zero overdue tasks across all 340+ assets. Start your free trial.
Failure Pattern Analysis
Historical work order data analyzed to identify repeat failure modes, enabling targeted PM frequency adjustments and spare parts pre-positioning.
Push Your Plant Past World-Class OEE
Whether you're at 60% or 80%, Oxmaint gives your maintenance team the data to close the gap to 95%+ OEE.
Frequently Asked Questions
Stop Losing Production to Preventable Breakdowns
Every hour of unplanned downtime costs manufacturers an average of $260,000. Start building the maintenance infrastructure that eliminates it.
