Downtime percentage is unplanned stop time over planned production time — the lost-availability metric behind OEE. It quantifies how much potential run time disappears to breakdowns and changeovers.
The example
48 min down of 480 planned.
| A | B | |
|---|---|---|
| 1 | Item | Value |
| 2 | Downtime | 48 |
| 3 | Planned | 480 → 10% |
The formula
The formula:
How it works
How it works:
- Sum unplanned stop time (breakdowns, jams, waiting) over the period.
- Divide by planned production time for the downtime percentage.
- Availability — the OEE factor — is
1 - downtime%. - Pareto downtime by reason code with SUMIF to target the biggest losses.
Reason codes turn downtime into an action list. Logging each stop with a reason (changeover, jam, material-out, breakdown) and totalling minutes per reason with SUMIF reveals where availability really leaks. Usually a couple of reasons dominate — quick changeover (SMED) or a recurring jam fix recovers most of the lost time.
Try it: interactive demo
Downtime and planned minutes.
Variations
Availability
OEE factor:
MTBF
Mean time between failures:
Downtime by reason
Pareto:
Pitfalls & errors
Unplanned only. Exclude planned maintenance and no-demand from downtime if measuring availability.
Same period. Downtime and planned time over the same window.
Log reasons. Without reason codes you can’t act on the number.
Practice workbook
Frequently asked questions
How do I calculate downtime percentage in Excel?
How does downtime relate to availability?
How do I find the biggest downtime cause?
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