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The multiple server effect: Optimal allocation of servers to stations with different service‐time distributions in tandem queueing networks

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  • Kenichi Futamura

Abstract

Traditionally, studies on tandem queueing networks concentrate on systems with infinite buffers, exponential service times, and/or single servers where solutions are more tractable. Less research can be found on more general, less tractable systems. We examine multiple‐server systems with finite buffers and non‐exponential service times, studying the effects of coefficient of variation (cv) of the service‐time distribution on the throughput of these systems, where cv differs among stations. Starting with the single station, we examine the effects of cv and the number of servers at the station on the distribution of interdeparture times. This insight helps explain the differences in throughput seen in the single (fast) server vs. multiple (slow) server problem. These results, in turn, shed light on the server allocation problem when cv differs among stations. We present some observations, as well as the intuition behind them. Copyright Kluwer Academic Publishers 2000

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  • Kenichi Futamura, 2000. "The multiple server effect: Optimal allocation of servers to stations with different service‐time distributions in tandem queueing networks," Annals of Operations Research, Springer, vol. 93(1), pages 71-90, January.
    • Handle: RePEc:spr:annopr:v:93:y:2000:i:1:p:71-90:10.1023/a:1018948512499
    DOI: 10.1023/A:1018948512499
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    Cited by:

    1. Eugene Furman & Adam Diamant & Murat Kristal, 2021. "Customer Acquisition and Retention: A Fluid Approach for Staffing," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4236-4257, November.
    2. Yarmand, Mohammad H. & Down, Douglas G., 2013. "Server allocation for zero buffer tandem queues," European Journal of Operational Research, Elsevier, vol. 230(3), pages 596-603.
    3. Romero-Silva, Rodrigo & Shaaban, Sabry & Marsillac, Erika & Laarraf, Zouhair, 2021. "The impact of unequal processing time variability on reliable and unreliable merging line performance," International Journal of Production Economics, Elsevier, vol. 235(C).

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