Industrial Sensors & Instrumentation worked example

Sensor Line OEE at 99% performance: a worked example

What does the result look like when performance reaches 99%? The full calculation is worked below with real intermediate numbers. Use it to benchmark line effectiveness and target the biggest loss in Industrial Sensors & Instrumentation.

The inputs for this scenario

  • Operating (run) time: 410 min (unchanged)
  • Planned production time: 480 min (unchanged)
  • Performance: 99 % (raised for this scenario; the documented default is 95)
  • Quality (first-pass yield): 98 % (unchanged)

Working through the calculation

  • Applying the documented formula (Availability = operating time ÷ planned production time) to the inputs above produces each figure below.
  • At this operating point the engine returns 82.87 % for oee, the number this scenario is built around.
  • At this operating point the engine returns 85.42 % for availability.
  • At this operating point the engine returns 99 % for performance.
  • At this operating point the engine returns 98 % for quality.

How this compares with the baseline

  • Against the tool's baseline example, where performance sits at 95% and the headline result is 79.52 %, this scenario comes in 4.21% above the baseline at 82.87 %.
  • A figure at this level is achievable when performance is genuinely sustained, not just peaked for a shift. First-pass yield must reflect calibration and drift-test failures; if you count recalibrated units as good, the quality factor — and the whole OEE — reads artificially high.

Results at a glance

  • OEE: 82.87 % (headline result)
  • Availability: 85.42 %
  • Performance: 99 %
  • Quality: 98 %

Run it with your numbers

  • Every input above is editable in the live Sensor Line OEE calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.