Packaging & Logistics worked example
Order Fulfillment Capacity at 99% labor utilization rate: a worked example
This scenario runs the order fulfillment capacity calculation on the strong side: 99% labor utilization rate, with every other input held at its documented default. Use it to plan staffing, check if you can absorb a demand spike, and size labor before peak season.
The inputs for this scenario
- Orders processed per labor hour: 18 orders / hr (unchanged)
- Labor hours available on shift: 64 hr (unchanged)
- Labor utilization rate: 99 % (raised for this scenario; the documented default is 90)
- Order accuracy rate: 99 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross order capacity = orders per labor hour × labor hours available) to the inputs above produces each figure below.
- At this operating point the engine returns 1,129 orders for net order capacity, the number this scenario is built around.
- At this operating point the engine returns 1,152 orders for gross order capacity.
- At this operating point the engine returns 11.52 orders for utilization loss.
- At this operating point the engine returns 11.4 orders for rework and error loss.
How this compares with the baseline
- Against the tool's baseline example, where labor utilization rate sits at 90% and the headline result is 1,026 orders, this scenario comes in 10% above the baseline at 1,129 orders.
- Use it for daily or weekly volume commitments, staffing decisions, and stress-testing whether a promo spike fits current labor. 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
- Net order capacity: 1,129 orders (headline result)
- Gross order capacity: 1,152 orders
- Utilization loss: 11.52 orders
- Rework and error loss: 11.4 orders
Run it with your numbers
- Every input above is editable in the live Order Fulfillment Capacity calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.