Unplanned Downtime Costs $125,000 per Hour
The median cost of unplanned downtime is $125,000 per hour, visible quality costs run 2.2% of revenue while total cost of poor quality exceeds 20%, and average OEE sits at just 60%. Predictive maintenance alone delivers 10:1 to 30:1 ROI.
What's Really Costing You
Production efficiency
Average OEE at 60%
The average manufacturing facility operates at just 60% Overall Equipment Effectiveness, meaning 40% of productive capacity is lost to downtime, slow cycles, and defects.
Supply chain optimization
20%+ total COPQ
While visible cost of poor quality runs about 2.2% of revenue, the true total cost including rework, warranty, and lost customers exceeds 20%.
Predictive maintenance
$125K/hr downtime cost
The median cost of unplanned downtime in manufacturing is $125,000 per hour, making every minute of unexpected stoppage devastatingly expensive.
Quality control
10:1 to 30:1 ROI
Predictive maintenance programs consistently deliver 10:1 to 30:1 return on investment by preventing failures before they halt production.
From Guesswork to Precision
Before Analytics
Maintenance is reactive: machines break, production stops, and the scramble to fix costs more in overtime and lost output than the repair itself. Quality issues are caught downstream, and you lack the data to trace root causes quickly.
After Analytics
Sensor data and machine learning predict failures before they happen. OEE dashboards track availability, performance, and quality in real time. Root cause analysis for defects takes minutes instead of days, and you know exactly where to invest in improvement.
// OEE SCORE
+25pt opportunityCurrent OEE
60%
vs 85% goal
Downtime
22%
avail. loss
Opportunity
$180K
/year est.
Numbers That Matter
median cost per hour of unplanned manufacturing downtime
Source: ABB / Sapio Research (2023)
average Overall Equipment Effectiveness across manufacturing
Source: Vorne Industries
potential ROI from predictive maintenance programs
Source: U.S. Department of Energy
A Typical Engagement
The Scenario
A manufacturer with fully reactive maintenance, 10+ hours of unplanned downtime per month, and no consistent OEE tracking.
Our Approach
Monitor critical equipment with sensor data and predictive models. Track availability, performance, and quality in real time to catch issues before they cause failures.
What the Industry Data Shows
- Predictive maintenance reduces unplanned downtime by 30-50%
- 95% of manufacturers implementing predictive analytics report positive ROI
- Average OEE is 60% — world-class is 85%, meaning most plants have major upside
Sources: Deloitte, McKinsey, IoT Analytics
Calculate Your Downtime Cost
Downtime Cost Calculator
Quantify the cost of unplanned production downtime.
Based on 30-50% downtime reduction with predictive analytics.
Want the full picture?
Get Your Free Data AuditRecommended Services for Manufacturing & Production
Frequently Asked Questions
Yes. We use retrofit sensors and edge devices to collect data from older machines that were not built with connectivity in mind. You do not need to replace equipment to get analytics.
We connect with MES, ERP (SAP, Oracle, Epicor), SCADA, historian databases, and IoT sensor platforms. We also work with spreadsheets and manual data where automation is not yet in place.
We collect vibration, temperature, power draw, and other sensor data from your equipment. Machine learning models learn normal operating patterns and alert you when something deviates, typically days or weeks before a failure would occur.
Predictive maintenance alone typically delivers 10:1 to 30:1 ROI. Most manufacturing clients see the analytics investment pay for itself within the first prevented downtime event.
Stop Guessing. Start Growing.
Every day without data is another day of preventable losses. Let's find out what your data can do for you.