Sensitivity of output performance measures to input distributions in queueing simulation modeling
Donald Gross,Matt Juttijudata +1 more
- Vol. 1, pp 296-302
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TLDR
Investigation of the sensitivity of output performance measures in two types of queueing networks, namely two versions of a two-node call center, to see if network mixing might reduce the sensitivity effect.Abstract:
In Gross and Juttijudata (1997) a single node, G/G/1 queue was investigated as to the sensitivity of output performance measures, such as the mean queue wait, to the shape of the interarrival and service distributions selected. Gamma, Weibull, lognormal and Pearson type 5 distributions with identical first and second moments were investigated. Significant differences in output measures were noted for low to moderate traffic intensities (offered load, /spl rho/), in some cases, even as high as 0.8. We continue this type of investigation for two types of queueing networks, namely two versions of a two-node call center, to see if network mixing might reduce the sensitivity effect.read more
Citations
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Sensitivity analysis for output performance measurers in long-range dependent queueing system
So Young Sohn,Seung Hwan Lee +1 more
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Simulation study for the optimal repair capacity of an IT maintenance center based on LRD failure distribution
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Accounting for Input Uncertainty in Discrete-Event Simulation
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Incorporating truncated exponential distributions in queueing models with adjustable service-rate control
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Building a more accurate output prediction model for dominion semiconductor: comparing effects of machine time-to-fail and downtime distribution estimators on model accuracy
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References
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Journal ArticleDOI
An investigation of phase-distribution moment-matching algorithms for use in queueing models
TL;DR: These algorithms are used to approximate an interarrival-time distribution for a queueing model, and the accuracy of associated performance-measure approximations is then used to evaluate the moment-matching algorithms.
Journal ArticleDOI
Using Univariate Bézier Distributions to Model Simulation Input Processes
TL;DR: A graphical, interactive technique for modeling univariate simulation input processes by using a family of probability distributions based on Bezier curves that has an open-ended parameterization and is capable of accurately representing an unlimited variety of distributional shapes.
Journal ArticleDOI
Distribution Estimation Using Laplace Transforms
TL;DR: Two related methods for deriving probability distribution estimates using approximate rational Laplace transform representations are proposed, addressing the question of the number of terms, or the order, involved in a generalized hyperexponential, phase-type, or Coxian distribution, a problem not adequately treated by existing methods.
Journal ArticleDOI
An empirical study of queueing approximations based on phase-type distributions
TL;DR: In this article, the GI/PH/1 model is used to explore the behavior of phase-type (PH) approximations of interarrival- and service-time distributions.