2015
DOI: 10.1002/nav.21669
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A queueing system with vacations afterNservices

Abstract: This paper is devoted to the study of an M/G/1 queue with a particular vacation discipline. The server is due to take a vacation as soon as it has served exactly N customers since the end of the previous vacation. N may be either a constant or a random variable. If the system becomes empty before the server has served N customers, then it stays idle until the next customer arrival. Such a vacation discipline arises, e.g., in production systems and in order picking in warehouses.We determine the joint transform… Show more

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Cited by 5 publications
(4 citation statements)
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“…Figures 7-9 also illustrate that the lower and upper bounds virtually coincide when λ is large enough and that the values of the bounds become insensitive to the exact distribution of the picking and completion times. This can be understood by examining Formulas (25) and 27 Remark 6. Note that the analysis of the order flow time is partially based on a relation with the cyclic queueing network system depicted in Figure 5.…”
Section: Evaluation Of Bounds and Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Figures 7-9 also illustrate that the lower and upper bounds virtually coincide when λ is large enough and that the values of the bounds become insensitive to the exact distribution of the picking and completion times. This can be understood by examining Formulas (25) and 27 Remark 6. Note that the analysis of the order flow time is partially based on a relation with the cyclic queueing network system depicted in Figure 5.…”
Section: Evaluation Of Bounds and Discussionmentioning
confidence: 99%
“…Remark 3. The policy of serving exactly N customers during a visit has recently also been studied by Boxma et al [25]. The model in this paper differs in two aspects.…”
Section: Polling Model Of Worktationmentioning
confidence: 99%
See 1 more Smart Citation
“…This paper is in some respects a companion paper of [1], where the server takes a vacation if it has served a random number N of customers, staying idle in the queue when the system becomes empty before N customers have been served. In [1], the following expressions were established: the joint transform of the length of a visit period and the number of customers in the system at the end of that period, the generating function of the number of customers at a random instant and the Laplace-Stieltjes transform of the delay of a customer. The key idea was to exploit a link with a result from Cohen [5] about the transient behavior of the queue length at customer departure epochs in an ordinary M/G/1 queue and to apply contour integration and the Fuhrmann-Cooper decomposition.…”
Section: Introductionmentioning
confidence: 99%