M/G/1 queue with event-dependent arrival rates

Benjamin Legros ()
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Benjamin Legros: Université Paris-Saclay

Queueing Systems: Theory and Applications, 2018, vol. 89, issue 3, No 3, 269-301

Abstract: Abstract Motivated by experiments on customers’ behavior in service systems, we consider a queueing model with event-dependent arrival rates. Customers’ arrival rates depend on the last event, which may either be a service departure or an arrival. We derive explicitly the performance measures and analyze the impact of the event-dependency. In particular, we show that this queueing model, in which a service completion generates a higher arrival rate than an arrival, performs better than a system in which customers are insensitive to the last event. Moreover, contrary to the M/G/1 queue, we show that the coefficient of variation of the service does not necessarily deteriorate the system performance. Next, we show that this queueing model may be the result of customers’ strategic behavior when only the last event is known. Finally, we investigate the historical admission control problem. We show that, under certain conditions, a deterministic policy with two thresholds may be optimal. This new policy is easy to implement and provides an improvement compared to the classical one-threshold policy.

Keywords: Queueing systems; Performance evaluation; M/G/1; Threshold policy; Strategic behavior; 90B22; 60K25; 68M20 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11134-017-9557-7

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