OPTIMAL CONTROL OF A TWO-STAGE TANDEM QUEUING SYSTEM WITH FLEXIBLE SERVERS
Probability in the Engineering and Informational Sciences
A Tandem Queue with Coupled Processors: Computational Issues
Queueing Systems: Theory and Applications
On the Introduction of an Agile, Temporary Workforce into a Tandem Queueing System
Queueing Systems: Theory and Applications
Partial Pooling in Tandem Lines with Cooperation and Blocking
Queueing Systems: Theory and Applications
A dispatching rule for photolithography scheduling with an on-line rework strategy
Computers and Industrial Engineering
Optimal control of flexible servers in two tandem queues with operating costs
Probability in the Engineering and Informational Sciences
Maximizing the throughput of tandem lines with flexible failure-prone servers and finite buffers
Probability in the Engineering and Informational Sciences
Queueing Systems: Theory and Applications
TECHNICAL NOTE---Queueing Systems with Synergistic Servers
Operations Research
Dynamic server allocation for unstable queueing networks with flexible servers
Queueing Systems: Theory and Applications
Flexible servers in tandem lines with setup costs
Queueing Systems: Theory and Applications
Maximizing throughput in queueing networks with limited flexibility
LATIN'06 Proceedings of the 7th Latin American conference on Theoretical Informatics
Manufacturing & Service Operations Management
Optimal assignment of servers to tasks when collaboration is inefficient
Queueing Systems: Theory and Applications
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For a system of finite queues, we study how servers should be assigned dynamically to stations in order to obtain optimal (or near-optimal) long-run average throughput. We assume that travel times between different service facilities are negligible, that each server can work on only one job at a time, and that several servers can work together on one job. We show that when the service rates depend only on either the server or the station (and not both), then all nonidling server assignment policies are optimal. Moreover, for a Markovian system with two stations in tandem and two servers, we show that the optimal policy assigns one server to each station unless that station is blocked or starved (in which case the server helps at the other station), and we specify the criterion used for assigning servers to stations. Finally, we propose a simple server assignment policy for tandem systems in which the number of stations equals the number of servers, and we present numerical results that show that our policy appears to yield near-optimal throughput under general conditions.