ERP & MRP Planning worked example
Demand Capacity Match with available production capacity of 24,000 units: a worked example
This scenario runs the demand capacity match calculation on the strong side: available production capacity of 24,000 units, with every other input held at its documented default. a scheduler needs to know if capacity covers demand quantity
The inputs for this scenario
- Available production capacity: 24,000 units (raised for this scenario; the documented default is 9,600)
- Demand quantity to cover: 10,000 units (unchanged)
- Percent conversion factor: 100 x (unchanged)
Working through the calculation
- Applying the documented formula (Demand-capacity coverage = available production capacity ÷ demand quantity × percent conversion factor) to the inputs above produces each figure below.
- At this operating point the engine returns 240 % for demand-capacity coverage, the number this scenario is built around.
- At this operating point the engine returns 2.4 ratio for capacity-to-demand ratio.
- At this operating point the engine returns 100 x for percent conversion factor.
- At this operating point the engine returns 10,000 units for demand quantity to cover.
How this compares with the baseline
- Against the tool's baseline example, where available production capacity sits at 9,600 units and the headline result is 96 %, this scenario comes in 150% above the baseline at 240 %.
- Use it in S&OP and master scheduling to test whether a line, plant, or family can meet a demand figure before committing to dates. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.
Results at a glance
- Demand-capacity coverage: 240 % (headline result)
- Capacity-to-demand ratio: 2.4 ratio
- Percent conversion factor: 100 x
- Demand quantity to cover: 10,000 units
Run it with your numbers
- Every input above is editable in the live Demand Capacity Match calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.