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A nonparametric predictive method for queues.

Coolen, F.P.A.; Coolen-Schrijner, P.

Authors

P. Coolen-Schrijner



Abstract

This paper presents a novel statistical approach to queues. Instead of studying characteristics of an assumed parametric stochastic model, the method uses information in the form of observed service times per queue and, while adding a minimum of additional assumptions, develops predictive probability results for the waiting time for customers in a queue. We show how these results can be used in a multi-queue problem to assign arriving customers to queues, aiming at minimisation of waiting times.

Citation

Coolen, F., & Coolen-Schrijner, P. (2003). A nonparametric predictive method for queues. European Journal of Operational Research, 145(2), 425-442. https://doi.org/10.1016/s0377-2217%2802%2900179-0

Journal Article Type Article
Publication Date 2003-03
Journal European Journal of Operational Research
Print ISSN 0377-2217
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 145
Issue 2
Pages 425-442
DOI https://doi.org/10.1016/s0377-2217%2802%2900179-0
Keywords Queueing, Methodology, Nonparametric predictive inference.