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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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User mobility modeling and characterization of mobility patterns

TL;DR: It is shown that the cell residence time can be described by the generalized gamma distribution and the negative exponential distribution is a good approximation for describing the channel holding time.
Journal ArticleDOI

Verification and validation of simulation models

TL;DR: This paper surveys verification and validation of models, especially simulation models in operations research, and discusses general good programming practice (such as modular programming), and checking intermediate simulation outputs through tracing and statistical testing per module.

Optimization for Simulation: Theory vs. Practice

TL;DR: There is a disconnect between research in simulation optimization—which has addressed the stochastic nature of discrete-event simulation by concentrating on theoretical results of convergence and specialized algorithms that are mathematically elegant—and the recent software developments, which implement very general algorithms adopted from techniques in the deterministic optimization metaheuristic literature.
Journal ArticleDOI

Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models

TL;DR: The proposed method is based on a kriging meta-model that provides a global prediction of the objective values and a measure of prediction uncertainty at every point and has excellent consistency and efficiency in finding global optimal solutions.
Book

Building a Better Delivery System: A New Engineering/Health Care Partnership

TL;DR: In this paper, the authors provide a framework for change and an action plan for a systems approach to health care delivery based on a partnership between engineers, health care professionals, and health care managers.