Little’s law

Health Management Glossary

Hospital Operations

Definition. Little’s law states that, in a stable system, the average number of items in the system equals the average arrival rate multiplied by the average time each item spends in the system (L = λW).

Explanation

Little (1961) gave the first general proof of the relation, which holds under very broad conditions and does not depend on the distribution of arrivals or service times. Looking back fifty years later, Little (2011) showed that the relation also holds over a finite observation period, which makes it directly usable with the records that managers already keep.

In hospitals the law links three numbers that are usually monitored separately: how many patients are present (occupied beds, chairs or waiting places), how many arrive per unit of time, and how long they stay or wait. When two are known, the third follows. A day treatment unit that receives five patients an hour who each stay five hours needs space, chairs and nurses for about 25 patients at the same time, an example worked through in the chapter on oncology capacity management. Because the law is an identity of averages, it does not reveal the variability that creates peaks, so it is combined with queueing models and simulation when capacity is sized.

Related concepts

Queueing theory Waiting time Length of stay Bed occupancy

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References

Little, J. D. C. (1961). A proof for the queuing formula: L = λW. Operations Research, 9(3), 383–387. https://doi.org/10.1287/opre.9.3.383

Little, J. D. C. (2011). Little’s law as viewed on its 50th anniversary. Operations Research, 59(3), 536–549. https://doi.org/10.1287/opre.1110.0940

Cite this entry: Kurutkan, M. N. (2026). Little’s law. In The Health Topics glossary. https://healthtopic.org/glossary/littles-law/

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