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Kanban sizing calculator

Estimate a starting number of Kanban signals or containers for one item in one replenishment loop, with every part of the calculation shown.

Single-item replenishment loop

Average units consumed per selected time unit.

Elapsed replenishment time in the same selected unit.

Whole units represented by one signal/container.

Explicit additional percentage; 10 means add 10%.

Whole Kanban signals/containers
4

Exact container requirement: 3.3 · rounded up to a whole container

Demand during replenishment
240 units
Safety buffer units
24 units
Buffered requirement
264 units
Units represented after rounding
320 units
Rounding surplus
56 units

What the represented quantity contains

Base replenishment demand, the entered safety buffer and the surplus created by rounding up to whole containers.

Use this as a starting quantity to validate against actual variation, service expectations and loop behavior. It is not a stockout guarantee.

Included

  • Average demand during one replenishment lead time
  • An explicit user-entered safety buffer percentage
  • One signal representing one fixed-quantity container
  • Exact requirement and conservative rounding up to whole containers

Not included

  • Demand distributions, service levels or a stockout guarantee
  • Multiple items, loops, suppliers or container sizes
  • Minimum order quantities, scrap, downtime or transport constraints
  • ERP integration, simulation or automatic safety-buffer policy

What this means

This simple planning model starts with average demand during replenishment: average consumption rate multiplied by replenishment lead time. The selected time unit changes only how those two inputs are displayed; the physical scenario remains unchanged.

The entered safety buffer adds a percentage to that base requirement. It is an explicit planning choice, not a calculated service level and not a promise that stockouts will be prevented.

One signal represents one container in this model. The exact container requirement is always rounded up so the represented quantity is not lower than the buffered requirement. The equation is a transparent product model, not a claim that one formula is the universal Kanban standard.

Formula & worked example

lead-time demand = average demand rate × replenishment lead time
safety units = lead-time demand × safety buffer ÷ 100
buffered requirement = lead-time demand + safety units
exact containers = buffered requirement ÷ units per container
whole signals/containers = exact containers rounded up

120 units per day, 2 days replenishment lead time, 80 units per container and a 10% safety buffer

Demand during replenishment: 120 × 2
240 units
Safety units: 240 × 10%
24 units
Exact containers: 264 ÷ 80
3.3 containers

Round 3.3 up to 4 whole signals/containers. They represent 320 units, leaving 56 units above the buffered requirement because containers are indivisible in this model.

How this calculation works

The calculation follows the formulas, definitions and assumptions explained on this page. The references below support the method and any stated boundaries.

Official sources

Common questions

How should I choose the safety buffer?
Enter a policy appropriate to the variation, service expectations and replenishment behavior of this loop. This calculator does not infer a buffer or claim that a particular percentage prevents shortages.
Why does the calculator always round up?
A fraction of a fixed container is not a whole signal/container. Rounding down would represent less inventory than the entered buffered requirement.
Does changing hours, days or weeks change the result?
No. The unit changes how demand rate and lead time are displayed and edited. The calculator stores one fixed day-based scenario, so a unit-only change preserves their product and the result.
Is this the only Kanban-sizing formula?
No. Real systems use different conventions and may include variability, service targets, review frequency or other constraints. This page shows one simple single-item replenishment model clearly so it can be compared with actual loop performance.

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