2006
DOI: 10.1007/s11134-006-6134-x
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Analysis of customers’ impatience in queues with server vacations

Abstract: Many models for customers impatience in queueing systems have been studied in the past; the source of impatience has always been taken to be either a long wait already experienced at a queue, or a long wait anticipated by a customer upon arrival. In this paper we consider systems with servers vacations where customers' impatience is due to an absentee of servers upon arrival. Such a model, representing frequent behavior by waiting customers in service systems, has never been treated before in the literature. W… Show more

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Cited by 155 publications
(121 citation statements)
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“…The simplest case is the one where all servers take a vacation when the system becomes empty and all of them return as in the oneserver case. This agrees to the many-server case with independent abandonments in the paper of Altman and Yechiali (2006). We can also consider the single-vacation case which is different from the multiple-vacation case described above in that the server takes just one vacation and then remains to the system even if there are not waiting customers.…”
Section: Conclusion and Possible Extensionssupporting
confidence: 80%
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“…The simplest case is the one where all servers take a vacation when the system becomes empty and all of them return as in the oneserver case. This agrees to the many-server case with independent abandonments in the paper of Altman and Yechiali (2006). We can also consider the single-vacation case which is different from the multiple-vacation case described above in that the server takes just one vacation and then remains to the system even if there are not waiting customers.…”
Section: Conclusion and Possible Extensionssupporting
confidence: 80%
“…Using these facts we can study the case of no synchronization (i.e., independent abandonments) that has been investigated by Altman and Yechiali (2006). The following theorem corresponds to their results for the M/M/1 type model (see their Sect.…”
Section: Limiting Regimesmentioning
confidence: 70%
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“…Blackburn (1972) considers an M/G/1 queueing system with customer balking and/or reneging and gives a finite algorithm to compute the stationary optimal policy that maximizes the expected discounted reward under some conditions on the system parameters and unit costs. Altman and Yechiali (2006) presents a comprehensive analysis of the M/M/c and M/G/1 queues, where customers' impatience is due to the absence of servers upon arrival for both the multiple and the singlevacation cases, and obtain various closed-form results. More recently, Yue et al (2011) consider a two-phase queueing system with impatient customers and multiple vacations with Poisson arrivals.…”
Section: Introductionmentioning
confidence: 99%