Industrial Laundry, Uniform & Textile Rental Operations worked example

Press/Fold Throughput at 99% finishing efficiency: a worked example

This scenario runs the press/fold throughput calculation on the strong side: 99% finishing efficiency, with every other input held at its documented default. Useful for finishing supervisors balancing ironers, folders, garment presses, and manual fold tables against route demand.

The inputs for this scenario

  • Finished pieces: 9,600 pieces (unchanged)
  • Finishing runtime: 7.5 hr (unchanged)
  • Finishing efficiency: 99 % (raised for this scenario; the documented default is 86)

Working through the calculation

  • Applying the documented formula (Raw press and fold throughput = finished pieces รท finishing runtime) to the inputs above produces each figure below.
  • At this operating point the engine returns 1,267 pieces / hr for effective press and fold throughput, the number this scenario is built around.
  • At this operating point the engine returns 1,280 pieces / hr for raw press and fold throughput.
  • At this operating point the engine returns 99 % for finishing efficiency.
  • At this operating point the engine returns 7.5 hr for finishing runtime.

How this compares with the baseline

  • Against the tool's baseline example, where finishing efficiency sits at 86% and the headline result is 1,101 pieces / hr, this scenario comes in 15.12% above the baseline at 1,267 pieces / hr.
  • Use it when planning shift staffing, quoting capacity for new accounts, or diagnosing whether finishing can keep pace with the wash floor. 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

  • Effective press and fold throughput: 1,267 pieces / hr (headline result)
  • Raw press and fold throughput: 1,280 pieces / hr
  • Finishing efficiency: 99 %
  • Finishing runtime: 7.5 hr

Run it with your numbers

  • Every input above is editable in the live Press/Fold Throughput calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.