Lead time and Little's Law: formula and example
In one sentence
With consistent scope and sufficient average data, lead time is found by dividing average work in progress by the average output rate.
By the end of this lesson
- Establish inventory balance by defining entry, exit and the product population.
- Calculate a time-weighted average from inventory observations covering different durations.
- Solve the relationship between inventory, rate and time on the same time base, showing intermediate results.
- Identify data that cannot yield a reliable lead time because of unstable periods and boundary effects.
- Assess an inventory reduction option on the condition that the output rate is maintained.
Why it matters
Lead time is the total time a product spends from a defined entry event to a defined exit event. Time spent in processing, transportation, inspection and waiting is included if it falls within those boundaries. Time from order receipt to arrival at the customer differs from time from the first operation to final inspection. Both can be useful, but they must not be compared under the same name. Whenever lead time is used here, the boundaries must be stated. Cycle time describes the repetition interval of work; lead time describes a product's stay in the selected system. A flow with short cycles can contain long waits.
Work in progress includes all products within the selected boundaries. Count not only crates waiting on the floor but also products in processing, transportation and inspection. When the same product is reworked, it is not added to entries as a new product. An inventory snapshot represents a specific instant, while average inventory represents an entire period. Equal inventory counts in the morning and evening do not show that inventory remained constant during the day. Relying on the average of two endpoint values is risky without knowing when products were inside and for how long. Inventory must be weighted over time.
Little's law relates average inventory, average output rate and average time in the system under appropriate scope and long-term averages. Its usefulness does not mean it can be applied unconditionally to every short table. A single-period ratio for a system that is rapidly filling or emptying may not show the actual average lead time of completed products. Products inside at the start of the period and those not yet out at the end create boundary effects. Counting only good output while including the time scrapped products spent in inventory also means dividing different product populations. Assess data scope and flow balance first; divide afterward.
Reducing inventory is a meaningful goal for shortening average lead time if the same output rate is maintained. However, an inventory target does not replace the method needed to achieve it. Removing all intermediate products at once can leave the bottleneck without material. In a small, traceable trial, address production release rules, transfer quantities and information flow together. If output falls, a lead time target calculated using the old rate no longer describes the same conditions. The law is a balance relationship; on its own, it does not tell you which shelf to remove, which sequence to change or exactly when each order will finish. A decision requires process knowledge.
Formula
Inventory balance (units): Ending = Starting + Arrivals − Departures − Other documented exits
Average inventory (units) = Σ[Inventory (units) × Duration represented (min)] ÷ Total time (min)
Average rate (units/min) = Output with consistent scope (units) ÷ Same period (min)
Average lead time (min) = Average inventory (units) ÷ Average rate (units/min)
Target average inventory (units) = Rate to be maintained (units/min) × Target time (min).
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- Step-by-step instructions
- Worked example with real numbers
- Where the method misleads
- Common mistakes