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dc.contributor.authorKe, Jau-Chuanen_US
dc.contributor.authorWu, Chia-Huangen_US
dc.contributor.authorPearn, Wen Leaen_US
dc.date.accessioned2014-12-08T15:37:44Z-
dc.date.available2014-12-08T15:37:44Z-
dc.date.issued2011en_US
dc.identifier.issn0020-7721en_US
dc.identifier.urihttp://hdl.handle.net/11536/25934-
dc.identifier.urihttp://dx.doi.org/10.1080/00207721003650209en_US
dc.description.abstractWe consider an infinite-capacity M/M/c retrial queue with second optional service (SOS) channel. An arriving customer finds a free server would enter the service (namely, the first essential service, denoted by FES) immediately; otherwise, the customer enters into an orbit and starts generating requests for service in an exponentially distributed time interval until he finds a free server and begins receiving service. After the completion of FES, only some of them receive SOS. The retrial system is modelled by a quasi-birth-and-death process and some system performance measures are derived. The useful formulae for computing the rate matrix and stationary probabilities are derived by means of a matrix-analytic approach. A cost model is derived to determine the optimal values of the number of servers and the two different service rates simultaneously at the minimal total expected cost per unit time. Illustrative numerical examples demonstrate the optimisation approach as well as the effect of various parameters on system performance measures.en_US
dc.language.isoen_USen_US
dc.subjectcosten_US
dc.subjectfirst essential channelen_US
dc.subjectquasi-Newton methoden_US
dc.subjectsecond optional channelen_US
dc.subjectmatrix-geometric methoden_US
dc.titleMulti-server retrial queue with second optional service: algorithmic computation and optimisationen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00207721003650209en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF SYSTEMS SCIENCEen_US
dc.citation.volume42en_US
dc.citation.issue10en_US
dc.citation.spage1755en_US
dc.citation.epage1769en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000293842400015-
dc.citation.woscount0-
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