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| Content Provider | Springer Nature Link |
|---|---|
| Author | Claeys, Dieter Laevens, Koenraad Walraevens, Joris Bruneel, Herwig |
| Copyright Year | 2009 |
| Abstract | Whereas the buffer content of batch-service queueing systems has been studied extensively, the customer delay has only occasionally been studied. The few papers concerning the customer delay share the common feature that only the moments are calculated explicitly. In addition, none of these surveys consider models including the combination of batch arrivals and a server operating under the full-batch service policy (the server waits to initiate service until he can serve at full capacity). In this paper, we aim for a complete characterisation—i.e., moments and tail probabilities - of the customer delay in a discrete-time queueing system with batch arrivals and a batch server adopting the full-batch service policy. In addition, we demonstrate that the distribution of the number of customer arrivals in an arbitrary slot has a significant impact on the moments and the tail probabilities of the customer delay. |
| Starting Page | 1 |
| Ending Page | 23 |
| Page Count | 23 |
| File Format | |
| ISSN | 14322994 |
| Journal | Mathematical Methods of Operations Research |
| Volume Number | 72 |
| Issue Number | 1 |
| e-ISSN | 14325217 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2009-12-20 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Customer delay Moments Tail probabilities Batch arrivals Batch service Full-batch service policy Calculus of Variations and Optimal Control; Optimization Business/Management Science Operations Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Science and Operations Research Mathematics Software |
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