DocumentCode
3357580
Title
Detecting truncation point in steady-state simulation using chaos theory
Author
Lee, Young Hac ; Oh, Hyung Sool
Author_Institution
Dept. of Ind. Eng., Hanyang Univ., Seoul, South Korea
fYear
1994
fDate
11-14 Dec. 1994
Firstpage
353
Lastpage
360
Abstract
In the steady-state simulation, it is important to identify initialization bias for the correct estimates of the simulation model under study. In this paper, the methods from chaos theory are applied to the determination of truncation points in the simulation data for controlling the initial bias. Two methods are proposed and evaluated based on their effectiveness for estimating the average waiting time in M/M/1(∞) queueing model.
Keywords
chaos; queueing theory; simulation; time series; average waiting time; chaos theory; initialization bias; queueing model; simulation data; simulation model; steady-state simulation; truncation point detection; Analytical models; Chaos; Industrial control; Mathematical model; Performance analysis; Physics; State-space methods; Steady-state; Stochastic systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference Proceedings, 1994. Winter
Print_ISBN
0-7803-2109-X
Type
conf
DOI
10.1109/WSC.1994.717193
Filename
717193
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