2019
DOI: 10.1007/s12597-019-00357-4
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Performance and economic analysis of a single server feedback queueing model with vacation and impatient customers

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Cited by 30 publications
(11 citation statements)
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“…Over the past few years, queueing models with Bernoulli feedback have increasingly attracted the attention of many researchers [9]- [14]. Taking into account the feedback effect makes it possible to bring the considered models closer to a real situation, where the claims once serviced may require repeat service for different reasons.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Over the past few years, queueing models with Bernoulli feedback have increasingly attracted the attention of many researchers [9]- [14]. Taking into account the feedback effect makes it possible to bring the considered models closer to a real situation, where the claims once serviced may require repeat service for different reasons.…”
Section: Introductionmentioning
confidence: 99%
“…This paper contributes in this sense. In fact, only a few research papers have been done treating this case [9]- [12], [30].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it has generated a fundamental results with extensive bibliographical references on this area (cf. Zhang et al [41], Altman and Yechaili [2,3], Ke [16], Ke et al [17], Adan et al [1], Yue et al [37], Ammar [4], Laxmi and Rajesh [33], Bouchentouf et al [9,10], and Kumar [20]).…”
Section: Introductionmentioning
confidence: 99%
“…Wang et al [32] surveyed the queueing systems with impatient customers in accordance with various dimensions. Bouchentouf et al [33] analyzed a finite capacity single server M/M/1/N feedback queueing system with vacation, balking, reneging and retention of reneged customers and they obtained important measures of effectiveness of the model by using the stationary distribution. Bhardwaj et al [34] considered a queueing system with impatient customers under fuzzy environment.…”
Section: Introductionmentioning
confidence: 99%