Wearable Medical Sensors worked example

Assembly Takt with net available assembly time of 230 min / shift: a worked example in wearable medical sensors

Suppose net available assembly time falls to 230 min / shift. This page works the full calculation at that level so you can see exactly which result moves and by how much. Find the takt time for Wearable Medical Sensors — the pace, in seconds per unit, that production must hold to exactly meet customer demand.

The inputs for this scenario

  • Net available assembly time: 230 min / shift (the input this scenario stresses; the baseline uses 450)
  • Customer sensor demand: 60 units / shift (held at the documented default)
  • Shifts run per day: 2 shifts (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Takt time = net available production time × 60 ÷ customer demand.
  • Takt time works out to 230 sec / unit at these inputs, and this is the headline figure for the scenario.
  • Required rate works out to 15.65 units / hr at these inputs.
  • Available time / day works out to 460 min at these inputs.
  • Demand / day works out to 120 units at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where net available assembly time sits at 450 min / shift and the headline result is 450 sec / unit, this scenario comes in 48.89% below the baseline at 230 sec / unit.
  • It computes the seconds allowed per sensor to meet demand, plus the equivalent required units-per-hour rate. When the numbers land here, the stressed input is the lever to work; the walkthrough above shows exactly how much each output recovers as it climbs back toward the baseline.

Results at a glance

  • Takt time: 230 sec / unit (headline result)
  • Required rate: 15.65 units / hr
  • Available time / day: 460 min
  • Demand / day: 120 units

Run it with your numbers

  • To rerun this with your own numbers, open the live Assembly Takt calculator, set net available assembly time to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.