Input uncertainty quantification for simulation models with piecewise-constant non-stationary Poisson arrival processes

Morgan, Lucy and Titman, Andrew Charles and Worthington, David John and Nelson, Barry Lee (2016) Input uncertainty quantification for simulation models with piecewise-constant non-stationary Poisson arrival processes. In: WSC '16 Proceedings of the 2016 Winter Simulation Conference. WSC '16 Proceedings of the Winter Simulation Conference . IEEE Press, Piscataway, NJ, USA, pp. 370-381. ISBN 9781509044849

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Abstract

Input uncertainty (IU) is the outcome of driving simulation models using input distributions estimated by finite amounts of real-world data. Methods have been presented for quantifying IU when stationary input distributions are used. In this paper we extend upon this work and provide two methods for quantifying IU in simulation models driven by piecewise-constant non-stationary Poisson arrival processes. Numerical evaluation and illustrations of the methods are provided and indicate that the methods perform well.

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ID Code:
84661
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Deposited On:
10 Feb 2017 13:48
Refereed?:
Yes
Published?:
Published
Last Modified:
27 Sep 2020 06:34