S&OP, Demand Planning & Forecasting worked example
MPS Stability Rate at 99% target mps stability rate: a worked example
What does the result look like when target mps stability rate reaches 99%? The full calculation is worked below with real intermediate numbers. Use it when mps stability rate in s and op, demand planning and forecasting needs a clean rate and gap-to-target you can put on a tier board.
The inputs for this scenario
- Frozen-window MPS line items changed: 8 count (unchanged)
- Total MPS line items in frozen window: 250 count (unchanged)
- Target MPS stability rate: 99 % (raised for this scenario; the documented default is 95)
Working through the calculation
- Applying the documented formula (Mps stability rate = mps stability rate count ÷ total mps stability rate population × 100) to the inputs above produces each figure below.
- At this operating point the engine returns 3.2 % for mps stability rate, the number this scenario is built around.
- At this operating point the engine returns 95.8 points for mps stability rate gap to target.
- At this operating point the engine returns 8 count for mps stability rate count.
- At this operating point the engine returns 250 count for total mps stability rate population.
How this compares with the baseline
- Against the tool's baseline example, where target mps stability rate sits at 95% and the headline result is 3.2 %, this scenario lands almost exactly on the baseline at 3.2 %.
- A figure at this level is achievable when target mps stability rate is genuinely sustained, not just peaked for a shift. The raw count of 'changes' is only as good as your change-tracking discipline — un-logged manual overrides or reschedules make the rate look artificially high.
Results at a glance
- Mps stability rate: 3.2 % (headline result)
- Mps stability rate gap to target: 95.8 points
- Mps stability rate count: 8 count
- Total mps stability rate population: 250 count
Run it with your numbers
- Every input above is editable in the live MPS Stability Rate calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.