Planning worked example
Capacity Planning at 98% expected uptime: a worked example
What does the result look like when expected uptime reaches 98%? The full calculation is worked below with real intermediate numbers. Use before accepting demand or adding equipment.
The inputs for this scenario
- Cycle time: 40 sec / unit (unchanged)
- Expected uptime: 98 % (raised for this scenario; the documented default is 85)
- Shift length: 8 hr (unchanged)
- Shifts per day: 2 shifts (unchanged)
- Machines / lines: 1 count (unchanged)
- Good yield: 96 % (unchanged)
- Daily demand: 1,150 units (unchanged)
Working through the calculation
- Applying the documented formula (Capacity = rate × hours × shifts × machines × uptime × yield) to the inputs above produces each figure below.
- At this operating point the engine returns 1,355 good units / day for daily capacity, the number this scenario is built around.
- At this operating point the engine returns 205 units / day for demand gap.
- At this operating point the engine returns 0.85 machines for required machines.
- At this operating point the engine returns 1,355 units / day for capacity per machine.
How this compares with the baseline
- Against the tool's baseline example, where expected uptime sits at 85% and the headline result is 1,175 good units / day, this scenario comes in 15.29% above the baseline at 1,355 good units / day.
- A figure at this level is achievable when expected uptime is genuinely sustained, not just peaked for a shift. It assumes a single representative cycle time and steady uptime and yield; mixed-product lines, changeovers, and demand variability need a more detailed model or added buffers.
Results at a glance
- Daily capacity: 1,355 good units / day (headline result)
- Demand gap: 205 units / day
- Required machines: 0.85 machines
- Capacity per machine: 1,355 units / day
Run it with your numbers
- Every input above is editable in the live Capacity Planning calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.