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Journal of Applied Mathematics and Decision Sciences
Volume 2006 (2006), Article ID 87514, 13 pages

A simulation framework for networked queue models: Analysis of queue bounds in a G/G/c supply chain

1The RAND Corporation , Santa Monica 90407-2138, CA, USA
2College of Engineering, California State University, Long Beach 90840, CA, USA
3Information Systems Department, California State University, Long Beach 90840, CA, USA

Received 4 April 2006; Accepted 18 May 2006

Copyright © 2006 Mahyar Amouzegar and Khosrow Moshirvaziri. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Some limited analytical derivation for networked queue models has been proposed in the literature, but their solutions are often of a great mathematical challenge. To overcome such limitations, simulation tools that can deal with general networked queue topology must be developed. Despite certain limitations, simulation algorithms provide a mechanism to obtain insight and good numerical approximation to parameters of networked queues. This paper presents a closed stochastic simulation network model and several approximation and bounding schemes for G/G/c systems. The analysis was originally conducted to verify the integrity of simulation models used to develop alternative policy options conducted on behalf of the US Air Force. We showed that the theoretical bounds could be used to approximate mean capacities at various queues. In this paper, we present results for a G/G/8 system though similar results have been obtained for other networks of queues as well.