Maintenance & Reliability worked example
Equipment Availability at 69% performance factor: a worked example
Suppose performance factor falls to 69%. This page works the full calculation at that level so you can see exactly which result moves and by how much. Estimate equipment availability from runtime versus planned time, then factor in performance and quality for an OEE-style view.
The inputs for this scenario
- Runtime hours: 680 hr (held at the documented default)
- Planned production hours: 720 hr (held at the documented default)
- Performance factor: 69 % (the input this scenario stresses; the baseline uses 96)
- Quality factor: 99 % (held at the documented default)
Working through the calculation
- The calculation starts from the formula this tool documents: Base availability = runtime hours ÷ planned production hours × 100.
- Effective Equipment Availability works out to 64.51 % at these inputs, and this is the headline figure for the scenario.
- Base Uptime works out to 94.44 % at these inputs.
- Performance Factor works out to 69 % at these inputs.
- Quality Factor works out to 99 % at these inputs.
How this compares with the baseline
- Against the tool's baseline example, where performance factor sits at 96% and the headline result is 89.76 %, this scenario comes in 28.13% below the baseline at 64.51 %.
- It computes effective equipment availability by dividing runtime by planned hours, then scaling by performance and quality factors. When the numbers land here, the stressed input is the lever to work; the walkthrough above shows exactly how much each output recovers as it climbs back toward the baseline.
Results at a glance
- Effective Equipment Availability: 64.51 % (headline result)
- Base Uptime: 94.44 %
- Performance Factor: 69 %
- Quality Factor: 99 %
Run it with your numbers
- To rerun this with your own numbers, open the live Equipment Availability calculator, set performance factor to your actual value, and adjust the remaining inputs to match your operation.
Last reviewed 2026-05-12.