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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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Proceedings ArticleDOI

A validation methodology for agent-based simulations

TL;DR: A process for validating agent-based simulation models that combines face validation, sensitivity analysis, calibration and statistical validation is proposed.
Journal ArticleDOI

Estimating Quantile Sensitivities

TL;DR: This paper proposes an infinitesimal-perturbation-analysis (IPA) estimator and shows that the quantile sensitivities can be written in the form of conditional expectations, and obtains a consistent estimator by dividing data into batches and averaging the IPA estimates of all batches.
Journal ArticleDOI

ONCHOSIM: a model and computer simulation program for the transmission and control of onchocerciasis.

TL;DR: ONCHOSIM is a computer program for modelling the transmission and control of the tropical parasitic disease onchocerciasis, or river blindness, and is used as a tool in the evaluation and planning of control operations.
Book ChapterDOI

Irregularity and asynchrony in biologic network signals

TL;DR: This chapter highlights the many physiological feedback and/or control systems and models for which cross-ApEn can detect significant changes in bivariate asynchrony, yet for whichCross-correlation and cross-spectral methods fail to clearly highlight markedly changing features of the data sets under consideration.
Journal ArticleDOI

On the Asymptotic Validity of Fully Sequential Selection Procedures for Steady-State Simulation

TL;DR: This work presents fully sequential procedures for steady-state simulation that are designed to select the best of a finite number of simulated systems when best is defined by the largest or smallest long-run average performance.