Abstract
Queuing theory models provide these benefits with at least two types of associated costs. First, users need to make a limiting set of assumptions about arrivals and service distributions. These assumptions might not apply to any reasonable approximation in some cases of interest. Making them could lead to inadvisable recommendations. Second, queuing theory models are associated with complexity and abstract concepts. These take time to understand and to apply confidently.
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© 2011 Springer-Verlag London Limited
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Allen, T.T. (2011). Theory of Queues. In: Introduction to Discrete Event Simulation and Agent-based Modeling. Springer, London. https://doi.org/10.1007/978-0-85729-139-4_6
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DOI: https://doi.org/10.1007/978-0-85729-139-4_6
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Online ISBN: 978-0-85729-139-4
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