2016
DOI: 10.1016/j.cor.2016.03.011
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Strategic queueing behavior for individual and social optimization in managing discrete time working vacation queue with Bernoulli interruption schedule

Abstract: In this paper, we consider a discrete time working vacation queue with a utility function for the reward of receiving the service and the cost of waiting in the system. A more flexible switching mechanism between low and regular service states is introduced to enhance the practical value of the working vacation queue. Under different precision levels of the system information, namely observable, almost unobservable and fully unobservable cases, the utility function is studied from both the individual customer'… Show more

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Cited by 12 publications
(7 citation statements)
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“…Let us show that D(z) > 0 for z ∈ [0, 1) if and only if the stability condition (10) is fulfilled. With this end in view we consider the following function:…”
Section: The Markov Chainmentioning
confidence: 99%
See 1 more Smart Citation
“…Let us show that D(z) > 0 for z ∈ [0, 1) if and only if the stability condition (10) is fulfilled. With this end in view we consider the following function:…”
Section: The Markov Chainmentioning
confidence: 99%
“…If we assume that a vacation is considered as an interruption of the system we note that the pioneer paper is [9] and from another point of view of service interruptions between low and regular service state we recommend the paper [10] where the authors introduce a more flexible mechanism to enhance the practical value of a working vacation.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, Liu and Wang (2017) studied customer equilibrium strategies in a working vacation queue concerning the Bernoulli schedule. Yu and Alfa (2016) studied the strategic behavior in a discrete-time working vacation queue with a Bernoulli interruption schedule. For further studies and references on vacation queuing systems (without a cost structure), one may refer to Doshi (1986), Takagi (1991), and Tian and Zhang (2006).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Goswami and Panda [11] presented strategic customer behavior in discrete-time single server queues in both observable and unobservable cases. There are various literature available on strategic customer behavior in discrete-time single server queues with different variations such as server vacations (Gao and Wang [7], Ma et al [26]), interruption (Yu and Alfa [35]), batch service (Panda and Goswami [30]), pricing (Ma and Liu [27]), breakdown and repairs (Yang et al [33]). 1 presents the works that are available related to the game-theoretic analysis in single and multi-server queueing systems.…”
mentioning
confidence: 99%