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Date 7-10 Dec. 2008

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Displaying Results 1 - 25 of 402
  • About the conference

    Publication Year: 2008, Page(s):i - xiii
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    Freely Available from IEEE
  • Author directory

    Publication Year: 2008, Page(s):xiv - cxxxv
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  • Preface

    Publication Year: 2008, Page(s):cxxxvi - cxxxvii
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    Freely Available from IEEE
  • WSC 2009 call for papers

    Publication Year: 2008, Page(s):cxxxviii - cxl
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    Freely Available from IEEE
  • Table of contents

    Publication Year: 2008, Page(s):cxli - clxix
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    Freely Available from IEEE
  • Modeling and simulation in public health: A little help can go a long way

    Publication Year: 2008, Page(s): 1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (203 KB)

    United States spends more per capita on health than any other nation, yet has worse health outcomes than many other countries. Moreover, expenditures on health in the U.S. are growing rapidly, and are taking up an increasingly larger share of per capita gross domestic product. Elsewhere in the world, some nations struggle with basic health issues such as sanitation and control of infectious diseas... View full abstract»

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  • A practitioner, a vender, and a researcher walk into a bar: Trying to explain what researchers do

    Publication Year: 2008, Page(s):2 - 9
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (215 KB) | HTML iconHTML

    Practitioners, venders, and researchers form three influential groups within the WSC community. The groups depend upon each other, yet not-enough interaction exists. Researchers, in particular, have difficulty explaining their culture and contributions. This paper is an attempt at such an explanation. View full abstract»

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  • Why modelling matters

    Publication Year: 2008, Page(s): 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    There has been an explosive growth in the capabilities of discrete simulation software in the last 20 years. There is no doubt that simulation software is much easier to use and is also much more powerful than it was. Some of this improvement has been driven by advances in computer hardware and software and some by demands from users. But amid all the hype about better, faster and more powerful to... View full abstract»

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  • Monte Carlo and discrete-event simulations in C and R

    Publication Year: 2008, Page(s):11 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (206 KB) | HTML iconHTML

    The Monte Carlo and discrete-event simulation code associated with the Simulation 101 pre-conference workshop (offered at the 2006, 2007, and 2008 Winter Simulation Conferences) is available in both C and R. This paper begins with general instructions for downloading, compiling, and executing the software. This is followed by detailed explanations of two programs that are representative of the sof... View full abstract»

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  • Introduction to simulation

    Publication Year: 2008, Page(s):17 - 26
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (824 KB) | HTML iconHTML

    Simulation is a powerful tool if understood and used properly. This introduction to simulation tutorial is designed to teach the basics of simulation, including structure, function, data generated, and its proper use. The introduction starts with a definition of simulation, goes through a talk about what makes up a simulation, how the simulation actually works, and how to handle data generated by ... View full abstract»

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  • Some topics for simulation optimization

    Publication Year: 2008, Page(s):27 - 38
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    We give a tutorial introduction to simulation optimization. We begin by classifying the problem setting according to the decision variables and constraints, putting the setting in the simulation context, and then summarize the main approaches to simulation optimization. We then discuss three topics in more depth: optimal computing budget allocation, stochastic gradient estimation, and the nested p... View full abstract»

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  • How to build valid and credible simulation models

    Publication Year: 2008, Page(s):39 - 47
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (526 KB) | HTML iconHTML

    In this tutorial we present techniques for building valid and credible simulation models. Ideas to be discussed include 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, use of sensitivity analysis to ... View full abstract»

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  • Introduction to modeling and generating probabilistic input processes for simulation

    Publication Year: 2008, Page(s):48 - 61
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (754 KB) | HTML iconHTML

    Techniques are presented for modeling and generating the univariate probabilistic input processes that drive many simulation experiments. Emphasis is on the generalized beta distribution family, the Johnson translation system of distributions, and the Bezier distribution family. Also discussed are nonparametric techniques for modeling and simulating time-dependent arrival streams using nonhomogene... View full abstract»

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  • Statistical analysis of simulation output

    Publication Year: 2008, Page(s):62 - 72
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (561 KB) | HTML iconHTML

    We discuss methods for statistically analyzing the output from stochastic discrete-event or Monte Carlo simulations. Terminating and steady-state simulations are considered. View full abstract»

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  • Better than a petaflop: The power of efficient experimental design

    Publication Year: 2008, Page(s):73 - 84
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB) | HTML iconHTML

    Recent advances in high-performance computing have pushed computational capabilities to a petaflop (a thousand trillion operations per second) in a single computing cluster. This breakthrough has been hailed as a way to fundamentally change science and engineering by letting people perform experiments that were previously beyond reach. But for those interested in exploring the I/O behavior of thei... View full abstract»

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  • Tips for successful practice of simulation

    Publication Year: 2008, Page(s):85 - 90
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (479 KB) | HTML iconHTML

    Succeeding with a technology as powerful as simulation involves much more than the technical aspects you may have been trained in. The parts of a simulation study that are outside the realm of modeling and analysis can make or break the project. This paper explores the most common pitfalls in performing simulation studies and identifies approaches for avoiding these problems. View full abstract»

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  • Introduction to Monte Carlo simulation

    Publication Year: 2008, Page(s):91 - 100
    Cited by:  Papers (18)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (273 KB) | HTML iconHTML

    This is an introductory tutorial on Monte Carlo simulation, a type of simulation that relies on repeated random sampling and statistical analysis to compute the results. In this paper, we will briefly describe the nature and relevance of Monte Carlo simulation, the way to perform these simulations and analyze results, and the underlying mathematical techniques required for performing these simulat... View full abstract»

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  • Agent-based modeling and simulation: ABMS examples

    Publication Year: 2008, Page(s):101 - 112
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1766 KB) | HTML iconHTML

    Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use electronic laboratories to support their research. Some have gone so far as to contend that ABMS ¿is a third way of doing science,¿ in additi... View full abstract»

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  • Analytical simulation modeling

    Publication Year: 2008, Page(s):113 - 121
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (553 KB) | HTML iconHTML

    Simulation modeling methodology research and simulation analysis methodology research have evolved into two nearly separate fields. In this paper, ways are shown how simulation might benefit from modeling and analysis becoming more closely integrated. The thesis of this paper is that simulation analysis and simulation modeling methodologies, considered together, will result in important advancemen... View full abstract»

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  • The mathematics of continuous-variable simulation optimization

    Publication Year: 2008, Page(s):122 - 132
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (431 KB) | HTML iconHTML

    Continuous-variable simulation optimization problems are those optimization problems where the objective function is computed through stochastic simulation and the decision variables are continuous. We discuss verifiable conditions under which the objective function is continuous or differentiable, and outline some key properties of two classes of methods for solving such problems, namely sample-a... View full abstract»

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  • Incorporating information networks into military simulations

    Publication Year: 2008, Page(s):133 - 144
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1473 KB) | HTML iconHTML

    Information superiority is considered a critical capability for future joint forces. As advances in technology continue to boost our ability to communicate in new and different ways, military forces are restructuring to incorporate these technologies. Yet we are still limited in our ability to measure the contributions made by information networks. We describe three recent studies at the Naval Pos... View full abstract»

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  • Revenue management: Models and methods

    Publication Year: 2008, Page(s):145 - 156
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB) | HTML iconHTML

    Revenue management is the collection of strategies and tactics firms use to scientifically manage demand for their products and services. The practice has grown from its origins in airlines to its status today as a mainstream business practice in a wide range of industry areas, including hospitality, energy, fashion retail, and manufacturing. This article provides an introduction to this increasin... View full abstract»

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  • Verification and validation of simulation models

    Publication Year: 2008, Page(s):157 - 169
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (450 KB) | HTML iconHTML

    In this paper we discuss verification and validation of simulation models. Four different approaches to deciding model validity are described; two different paradigms that relate verification and validation to the model development process are presented; various validation techniques are defined; conceptual model validity, model verification, operational validity, and data validity are discussed; ... View full abstract»

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  • Approximate zero-variance simulation

    Publication Year: 2008, Page(s):170 - 181
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (489 KB) | HTML iconHTML

    Monte Carlo simulation applies to a wide range of estimation problems, but converges rather slowly in general. Variance reduction techniques can lower the estimation error, sometimes by a large factor, but rarely change the convergence rate of the estimation error. This error usually decreases as the inverse square root of the computational effort, as dictated by the central limit theorem. In theo... View full abstract»

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  • Inside discrete-event simulation software: How it works and why it matters

    Publication Year: 2008, Page(s):182 - 192
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (461 KB) | HTML iconHTML

    This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems; entities, resources, control elements and operations; simulation runs; entity states; entity lists; and entity-list management. The implementation of these generic ideas in AutoMod, SLX, and Extend is described. The paper concludes with... View full abstract»

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