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.
Original language | English (US) |
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Title of host publication | 2016 Winter Simulation Conference |
Subtitle of host publication | Simulating Complex Service Systems, WSC 2016 |
Editors | Theresa M. Roeder, Peter I. Frazier, Robert Szechtman, Enlu Zhou |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 370-381 |
Number of pages | 12 |
ISBN (Electronic) | 9781509044863 |
DOIs | |
State | Published - Jul 2 2016 |
Event | 2016 Winter Simulation Conference, WSC 2016 - Arlington, United States Duration: Dec 11 2016 → Dec 14 2016 |
Publication series
Name | Proceedings - Winter Simulation Conference |
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Volume | 0 |
ISSN (Print) | 0891-7736 |
Other
Other | 2016 Winter Simulation Conference, WSC 2016 |
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Country/Territory | United States |
City | Arlington |
Period | 12/11/16 → 12/14/16 |
Funding
We gratefully acknowledge the support of the EPSRC funded EP/L015692/1 STOR-i Centre for Doctoral Training, NSF Grant CMMI-1068473 and GOALI sponsor Simio LLC.
ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Computer Science Applications