Lindley equation

Waiting times

In Dennis Lindley's first paper on the subject the equation is used to describe waiting times experienced by customers in a queue with the First-In First-Out (FIFO) discipline.

::W**n + 1 = max(0,W**n + U**n) where

• T**n is the time between the nth and (n+1)th arrivals,
• S**n is the service time of the nth customer, and
• U**n = S**n − T**n
• W**n is the waiting time of the nth customer.

The first customer does not need to wait so W1 = 0. Subsequent customers will have to wait if they arrive at a time before the previous customer has been served.

Queue lengths

The evolution of the queue length process can also be written in the form of a Lindley equation.

Integral equation

Lindley's integral equation is a relationship satisfied by the stationary waiting time distribution F(x) in a G/G/1 queue.

Where K(x) is the distribution function of the random variable denoting the difference between the (k - 1)th customer's arrival and the inter-arrival time between (k - 1)th and kth customers. The Wiener–Hopf method can be used to solve this expression.

Notes

References

1. Asmussen, Søren. (2003). "Applied probability and queues". Springer.
2. (2009). "The first Erlang century—and the next". [[Queueing Systems]].
3. Kendall, D. G.. (1951). "Some problems in the theory of queues". Journal of the Royal Statistical Society, Series B.
4. Lindley, D. V.. (1952). "The theory of queues with a single server". [[Mathematical Proceedings of the Cambridge Philosophical Society]].
5. (1974). "Mathematical Methods in Queueing Theory".