Estimate the value of a higher OEE before you start a pilot.
Enter your shifts, current OEE and the value of one machine hour to see how much capacity, contribution and payback a few extra OEE points could give your plant.
How the Calculator Works
Built on the logic finance teams already use
The model follows the two business cases common in machine monitoring and OEE tools and connects them to the losses DBR77 IIoT measures on the line.
Recovered machine hours
Every OEE point on a running asset turns a share of planned time back into productive hours. The calculator prices those hours with your own machine-hour value.
Cost or output
There are two separate cases: make the same output at lower cost, or sell more output from the same fixed base. Pick the one that matches your line.
Where DBR77 IIoT comes in
DBR77 IIoT measures the losses behind the number: every stop with its reason, the response time and live OEE. A pilot uses that data to check the assumptions you enter here.
Interactive Model
Estimate value in two practical scenarios
Use one mode if your priority is recovering cost and productive hours. Use the other if you could sell more than the line makes today, so a higher OEE means more sellable output.
Improved OEE
80.0%
Recovered productive hours / year
6,656 h
Relative capacity gain
33.3%
Modeled annual value
$798,720
ROI in year one
2,752.6%
Estimated payback period
12 days
This mode values recovered capacity by machine-hour economics. At the current assumptions, the model estimates $798,720 of annual value from the OEE lift.
Where The Gains Come From
What usually moves the number
A dashboard alone does not raise OEE. The gain comes from shortening the time between a stop, the right person knowing about it and the fix.
Fewer minutes lost to unplanned downtime
Faster response when operators select the stop reason at the machine
Short stops counted instead of disappearing from the shift report
An owner and a time stamp for every alert, so slow responses become visible
Less hidden loss during setup, handover and waiting
Compared with Other Tools
How this differs from typical ROI tools
Most calculators stop at the number. This one is tied to the data a DBR77 IIoT pilot collects, so the estimate can be checked on your line.
| Category | Typical limitation | With DBR77 IIoT |
|---|---|---|
| Basic OEE calculators | Useful for sizing the opportunity, but they rarely show which losses on the line the number depends on. | The estimate links to measured stops, stop reasons and response times, so you can see which losses to work on first. |
| Generic spreadsheet ROI models | Flexible, but plant teams find them abstract because they do not show where OEE actually changes on the line. | The result is in production terms: recovered hours, added output and faster response on every shift. |
| Vendor demos without business sizing | They look good, but are hard to defend when finance asks how much value the rollout will create. | The demo shows how the data is collected, the calculator sizes the value, and a pilot measures it on your own machines. |
Use this as a sizing tool
The calculator frames the opportunity quickly. It does not replace a business case built on loss data from your own plant.
Use a pilot to check the assumptions
A pilot on 1 to 3 workstations or one line replaces assumptions with measured downtime, stop reasons and response times, and ends with a report and a scaling recommendation.
Use the demo to align stakeholders
The demo uses sample data to show operations, IT and management how statuses, alerts and tasks work before any machine is connected.
Turn the estimate into a business case for your plant.
Start with the calculator, show the team the demo, then measure the real gain in a pilot on one line.