Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5319
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dc.creatorChevalier, Philippe B.-
dc.creatorWein, Lawrence M.-
dc.date2004-05-28T19:33:29Z-
dc.date2004-05-28T19:33:29Z-
dc.date1990-07-
dc.date.accessioned2013-10-09T02:39:01Z-
dc.date.available2013-10-09T02:39:01Z-
dc.date.issued2013-10-09-
dc.identifierhttp://hdl.handle.net/1721.1/5319-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionWe consider the problem of finding an optimal dynamic priority sequencing policy to maximize the mean throughput rate in a multistation, multiclass closed queueing network with general service time distributions and a general routing structure. Under balanced heavy loading conditions, this scheduling problem can be approximated by a control problem involving Brownian motion. Although a unique, closed form solution to the Brownian control problem is not derived, an analysis of the problem leads to an effective static sequencing policy, and to an approximate means of comparing the relative performance of arbitrary static policies. Three examples are given that illustrate the effectiveness of our procedure.-
dc.format2007841 bytes-
dc.formatapplication/pdf-
dc.languageen_US-
dc.publisherMassachusetts Institute of Technology, Operations Research Center-
dc.relationOperations Research Center Working Paper;OR 219-90-
dc.titleScheduling Networks of Queues: Heavy Traffic Analysis of a Multistation Closed Network-
dc.typeWorking Paper-
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