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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Input uncertainty quantification for simulation models with piecewise-constant non-stationary Poisson arrival processes. / Morgan, Lucy; Titman, Andrew Charles; Worthington, David John et al.
WSC '16 Proceedings of the 2016 Winter Simulation Conference . Piscataway, NJ, USA: IEEE Press, 2016. p. 370-381 (WSC '16 Proceedings of the Winter Simulation Conference).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Morgan, L, Titman, AC, Worthington, DJ & Nelson, BL 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. https://doi.org/10.1109/WSC.2016.7822104

APA

Morgan, L., Titman, A. C., Worthington, D. J., & Nelson, B. L. (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 (pp. 370-381). (WSC '16 Proceedings of the Winter Simulation Conference). IEEE Press. https://doi.org/10.1109/WSC.2016.7822104

Vancouver

Morgan L, Titman AC, Worthington DJ, Nelson BL. Input uncertainty quantification for simulation models with piecewise-constant non-stationary Poisson arrival processes. In WSC '16 Proceedings of the 2016 Winter Simulation Conference . Piscataway, NJ, USA: IEEE Press. 2016. p. 370-381. (WSC '16 Proceedings of the Winter Simulation Conference). doi: 10.1109/WSC.2016.7822104

Author

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

Bibtex

@inproceedings{3bddfb514ad44c438914a703078609e1,
title = "Input uncertainty quantification for simulation models with piecewise-constant non-stationary Poisson arrival processes",
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.",
author = "Lucy Morgan and Titman, {Andrew Charles} and Worthington, {David John} and Nelson, {Barry Lee}",
note = "{\textcopyright}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2016",
month = dec,
day = "11",
doi = "10.1109/WSC.2016.7822104",
language = "English",
series = "WSC '16 Proceedings of the Winter Simulation Conference",
publisher = "IEEE Press",
pages = "370--381",
booktitle = "WSC '16 Proceedings of the 2016 Winter Simulation Conference",

}

RIS

TY - GEN

T1 - Input uncertainty quantification for simulation models with piecewise-constant non-stationary Poisson arrival processes

AU - Morgan, Lucy

AU - Titman, Andrew Charles

AU - Worthington, David John

AU - Nelson, Barry Lee

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2016/12/11

Y1 - 2016/12/11

N2 - 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.

AB - 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.

U2 - 10.1109/WSC.2016.7822104

DO - 10.1109/WSC.2016.7822104

M3 - Conference contribution/Paper

T3 - WSC '16 Proceedings of the Winter Simulation Conference

SP - 370

EP - 381

BT - WSC '16 Proceedings of the 2016 Winter Simulation Conference

PB - IEEE Press

CY - Piscataway, NJ, USA

ER -