2016
DOI: 10.1504/ijor.2016.073956
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Transient solution of an M<SUP align="right">[X]</SUP>/G/1 queueing model with feedback, random breakdowns, Bernoulli schedule server vacation and random setup time

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Cited by 9 publications
(7 citation statements)
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“…Baruah et al [25] studied a batch arrival queue with two types of service, balking, re-service and vacation. Ayyappan and Sathiya [11] derived the PGF of the non-Markovian queue with two types of service and optional re-service with a general vacation distribution.…”
Section: Literature Surveymentioning
confidence: 99%
See 1 more Smart Citation
“…Baruah et al [25] studied a batch arrival queue with two types of service, balking, re-service and vacation. Ayyappan and Sathiya [11] derived the PGF of the non-Markovian queue with two types of service and optional re-service with a general vacation distribution.…”
Section: Literature Surveymentioning
confidence: 99%
“…A detailed survey on queues with interruptions was undertaken by Krishnamoorthy et al [10]. Ayyappan and Shyamala [11] derived the transient solution to an M [X] /G/1 queueing system with feedback, random breakdowns, Bernoulli schedule server vacation and random setup time. An M/G/1 queue with two phases of service subject to random breakdown and delayed repair was examined by Choudhury and Tadj [12].…”
Section: Introductionmentioning
confidence: 99%
“…They consider the service times as independent and identically distributed with different rates when the customer is served with feedback or without feedback. Other studies on feedback are found in [9][10][11][12][13], etc.…”
Section: Introductionmentioning
confidence: 99%
“…An M/G/1 retrial queue having optional feedback along with a pair of heterogeneous essential service, was investigated by Lakshmi and Ramanath [20]. Ayyappan and Shyamala [3] have studied the bulk arrival feedback queueing model by utilizing Laplace Stieltjes transform. Lately, Chang et al [4] have discussed unreliable server queue with impatient customers and Bernoulli feedback and derived steady state queue size probabilities using quasi progression algorithm.…”
Section: Introductionmentioning
confidence: 99%