Lean Manufacturing & Operations worked example

Kanban Bin Quantity with average daily usage of 50 units/day: a worked example

This worked example runs the kanban bin quantity numbers for a tougher week than the baseline: average daily usage of 50 units/day instead of the typical 100 units/day. Calculate the standard quantity per kanban bin by considering daily usage, replenishment frequency, and a buffer multiplier.

The inputs for this scenario

  • Average daily usage: 50 units/day (the input this scenario stresses; the baseline uses 100)
  • Replenishment frequency: 2 times/day (held at the documented default)
  • Buffer multiplier: 1.2 x (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Bin Quantity = (Daily Usage / Replenishment Frequency) x Buffer Multiplier.
  • Bin quantity (units per container) works out to 30 units at these inputs, and this is the headline figure for the scenario.
  • Raw ratio works out to 25 value at these inputs.
  • Conversion factor works out to 1.2 x at these inputs.
  • Replenishment frequency works out to 2 value at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where average daily usage sits at 100 units/day and the headline result is 60 units, this scenario comes in 50% below the baseline at 30 units.
  • Use it when setting up point-of-use containers or tuning bin sizes after a delivery-frequency change. A result at this level usually justifies acting on the stressed input before touching anything else, because every other figure in the table is downstream of it.

Results at a glance

  • Bin quantity (units per container): 30 units (headline result)
  • Raw ratio: 25 value
  • Conversion factor: 1.2 x
  • Replenishment frequency: 2 value

Run it with your numbers

  • To rerun this with your own numbers, open the live Kanban Bin Quantity calculator, set average daily usage to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.