We propose a method for the control of multi-class queueing networks over a finite time horizon. We approximate the multi-class queueing network by a fluid network and formulate a fluid optimization problem which we solve as a separated continuous linear program. The optimal fluid solution partitions the time horizon to intervals in which constant fluid flow rates are maintained. We then use a policy by which the queueing network tracks the fluid solution. To that end we model the deviations between the queuing and the fluid network in each of the intervals by a multi-class queueing network with some infinite virtual queues. We then keep these deviations stable by an adaptation of a maximum pressure policy. We show that this method is asymptotically optimal when the number of items that is processed and the processing speed increase. We illustrate these results through a simple example of a three stage re-entrant line.
|Number of pages||17|
|Journal||Annals of Operations Research|
|State||Published - Sep 2009|
Bibliographical noteFunding Information:
Research supported in part by Israel Science Foundation Grant 249/02 and 454/05 and by European Network of Excellence Euro-NGI.
- Continuous linear programming
- Fluid approximations
- Infinite virtual queues
- Maximum pressure policies
- Multi-class queueing networks
- Queueing control
ASJC Scopus subject areas
- Decision Sciences (all)
- Management Science and Operations Research