A breakdown costs more than a repair. It can stop production, tie up your team, and delay orders. Catching equipment problems earlier gives you time to plan the work. See what that could save your operation.
Control Seat sensor mounted on an industrial motor.
Build the business case
Start with the costs of a breakdown.
Less downtime means more time producing. Planned repairs can also reduce emergency costs and product losses.
Cost
What to count
Lost production
The value you lose while equipment is down and orders cannot move.
Emergency repairs
Extra overtime, rush parts, and callout fees.
Scrap or spoilage
Materials or finished products lost during a breakdown.
Cost of monitoring
Sensors, installation, software, connectivity, and support.
Your potential savings
Could monitoring pay for itself?
We’ve filled in a starting estimate based on avoiding one eight-hour stoppage a year, at $2,500 per hour. Adjust any number to see the value for your operation.
Your estimated return
Downtime avoided each year
8 hours
Estimated annual savings
$20,000
First-year net savings
$11,000
First-year ROI
122%
Estimated payback period
2.6 months
Adjust the numbers to match your equipment and budget.
How we calculate the estimate
Potential annual savings = avoided downtime hours × cost per hour + other costs avoided.
First-year ROI compares those net savings with the total first-year cost. Payback estimates how long savings after ongoing costs would take to cover the upfront cost.
Starting values are estimates. Your quote and actual savings will depend on your site.
Case studies & research
What other manufacturers have found.
Published examples show how monitoring helps teams find equipment problems and reduce costs. These examples describe other manufacturers’ programs.
3M · Published case study$32,000/year
Estimated savings from monitoring steam traps.
At 3M’s Brookings plant, sensors on 50 steam traps helped maintenance find failures sooner. The site estimated $32,000 in annual energy savings and reduced the average time to discover a failed trap from 33 days to 12.
At a ceramics plant, monitoring revealed that a blower was running for 30 minutes on a batch that needed seven. The team found and repaired an intermittently stuck valve, then added alarms for unusually long run times.
Pacific Northwest National Laboratory summarizes earlier studies that estimated this saving for predictive maintenance compared with preventive maintenance alone.
Manufacturers using more predictive maintenance reported less unplanned downtime than those using more preventive maintenance. NIST treats this small-group comparison as exploratory evidence.