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Simulation Modeling and Analysis

TLDR
The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering, business, computer science and operations research.
Abstract
From the Publisher: This second edition of Simulation Modeling and Analysis includes a chapter on "Simulation in Manufacturing Systems" and examples. The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering,business,computer science and operations research.

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Journal ArticleDOI

Forecasting emergency department crowding: a discrete event simulation.

TL;DR: By modeling patient flow, rather than operational summary variables, the simulation forecasts several measures of near-future ED crowding, with various degrees of good performance.
Journal ArticleDOI

Uniform random number generation

TL;DR: In this article, the authors examine practical ways of generating (deterministic approximations to) such uniform variates on a computer and compare them in terms of ease of implementation, efficiency, theoretical support, and statistical robustness.
Proceedings ArticleDOI

How to build valid and credible simulation models

TL;DR: In this paper, the authors present techniques for building valid and credible simulation models, including the importance of a definitive problem formulation, discussions with subject-matter experts, interacting with the decision-maker on a regular basis, development of a written assumptions document, structured walk-through of the assumptions document and use of sensitivity analysis to determine important model factors.
Journal Article

Undirected visual attention to advertising, a segment level analysis

TL;DR: In this paper, the effects of physical ad properties on consumers' visual attention to advertising were studied and a latent class regression model accounting for heterogeneity across consumers through unobserved segments was used to analyze the eye movement data in detail.
Proceedings ArticleDOI

Overlapping batch means: something for nothing?

TL;DR: This paper considers an overlapping batch means (OLBM) estimator that, based on the same assumptions and batch size as NOLBM, has essentially the same mean and only 2/3 the asymptotic variance of N OLBM.