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Simulation Conference (WSC), Proceedings of the 2010 Winter

Date 5-8 Dec. 2010

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Displaying Results 1 - 25 of 322
  • Announcement of WSC 2011

    Publication Year: 2010, Page(s):1 - 2
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  • Author index

    Publication Year: 2010, Page(s):1 - 51
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  • WSC Board of Directors

    Publication Year: 2010, Page(s):1 - 2
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  • WSC'10 track coordinators

    Publication Year: 2010, Page(s):1 - 2
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  • Author directory

    Publication Year: 2010, Page(s):1 - 138
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  • The WSC Foundation

    Publication Year: 2010, Page(s):1 - 2
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  • The Winter Simulation Conference (WSC)

    Publication Year: 2010, Page(s):1 - 4
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  • Keynote address

    Publication Year: 2010, Page(s): 1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (105 KB)

    The ultimate goal is to develop an Executable Architecture for System Engineering, Modeling and Simulation across the Aerospace and Defense landscape using a consistent, open framework for the benefit of users, suppliers and ourselves. In this presentation, the author touches on the complexities that delivering large and complex systems bring to the Research & Development group within EADS, wh... View full abstract»

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  • Preface

    Publication Year: 2010, Page(s):1 - 4
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  • Referees

    Publication Year: 2010, Page(s):1 - 5
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  • Sponsoring societies

    Publication Year: 2010, Page(s): 1
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  • Table of contents

    Publication Year: 2010, Page(s):1 - 23
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  • Introduction to Simio

    Publication Year: 2010, Page(s):1 - 10
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1326 KB) | HTML iconHTML

    This paper describes the modeling system - Simio™- that is designed to simplify model building by promoting a modeling paradigm shift from the process orientation to an object orientation. Simio is a simulation modeling framework based on intelligent objects. The intelligent objects are built by modelers and then may be reused in multiple modeling projects. Although the Simio framework is f... View full abstract»

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  • Resource management in SAS Simulation Studio

    Publication Year: 2010, Page(s):11 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (478 KB) | HTML iconHTML

    We present an overview of resource management in SAS Simulation Studio, an object-oriented, Java-based application for building and analyzing discrete-event simulation models. In Simulation Studio, resources are modeled as special types of hierarchical entities that can be assigned attributes and flow through the model. Furthermore, resource entities can be seized and released by other entities to... View full abstract»

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  • Recent innovations in Simio

    Publication Year: 2010, Page(s):21 - 31
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1884 KB) | HTML iconHTML

    This paper briefly describes Simio™ simulation software, a simulation modeling framework based on intelligent objects. It then describes a few of the many recent enhancements and innovations including SMORE charts that allow unprecedented insight into your simulation output and sophisticated built-in experimentation that incorporates multi-processor support and optimization. View full abstract»

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  • ExtendSim advanced techology: Integrated simulation database

    Publication Year: 2010, Page(s):32 - 39
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (141 KB) | HTML iconHTML

    ExtendSim is used to model continuous, discrete event, discrete rate, and agent-based systems. This paper will focus on ExtendSim's tightly integrated simulation database which provides features that facilitate database-centric modeling and improve and streamline the modeling process. View full abstract»

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  • Simulation based FAB scheduler: SeePlan®

    Publication Year: 2010, Page(s):40 - 48
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (417 KB) | HTML iconHTML

    In a typical FAB factory, various types of products are produced around the clock. Complex constraints and re-entrant flows make it difficult for a human scheduler to generate a production schedule based on his/her experience and knowledge. This paper introduces a simulation based FAB scheduler, SeePlan®, which was developed by the authors. A Korea based semi-conductor and LCD maker designa... View full abstract»

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  • Introduction to simulation input modeling

    Publication Year: 2010, Page(s):49 - 58
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (142 KB) | HTML iconHTML

    In this tutorial we first review introductory techniques for simulation input modeling. We then identify situations in which the standard input models fail to adequately represent the available input data. In particular, we consider the cases where the input process may (i) have marginal characteristics that are not captured by standard distributions; (ii) exhibit dependence; and (iii) change over... View full abstract»

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  • Practical advice for organizations new to simulation

    Publication Year: 2010, Page(s):59 - 64
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (87 KB) | HTML iconHTML

    Many organizations know the benefits of simulation and desire to add this business intelligence to their organization's process improvement toolkit. However, challenges exist that prevent these organizations from actually executing and successfully bringing simulation into their organization. From the lack of the right model building resources to missing upper management support to not having robu... View full abstract»

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  • Statistical analysis of simulation output data: The practical state of the art

    Publication Year: 2010, Page(s):65 - 74
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (123 KB) | HTML iconHTML

    One of the most important but neglected aspects of a simulation study is the proper design and analysis of simulation experiments. In this tutorial we give a state-of-the-art presentation of what the practitioner really needs to know to be successful. We will discuss how to choose the simulation run length, the warm-up-period duration (if any), and the required number of model replications (each u... View full abstract»

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  • Simulation experiment design

    Publication Year: 2010, Page(s):75 - 86
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (135 KB) | HTML iconHTML

    So you have built and validated a simulation model - how are you going to gain insight about the associated real system in order to make decisions? This introductory tutorial gives an overview of experiment design techniques for planning a series of simulation runs. These techniques make efficient use of simulation runs to uncover the impact of system design parameters on simulation output perform... View full abstract»

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  • Tips for successful practice of simulation

    Publication Year: 2010, Page(s):87 - 94
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (101 KB) | HTML iconHTML

    A simulation project is much more than building a model. And the skills required go well beyond knowing a particular simulation tool. This paper discusses some important steps to enable project success and some cautions and tips to help avoid common traps. View full abstract»

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  • Monte Carlo methods in finance: An introductory tutorial

    Publication Year: 2010, Page(s):95 - 103
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (151 KB) | HTML iconHTML

    In this introductory tutorial we discuss the problem of pricing financial derivatives, the key application of Monte Carlo in finance. We review the mathematics that uses no-arbitrage principle to price derivatives and expresses derivatives price as an expectation under the equivalent martingale measure. In the presentation at the conference we will also elaborate on the use of Monte Carlo methods ... View full abstract»

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  • An introduction to systems modeling and simulation with Colored Petri Nets

    Publication Year: 2010, Page(s):104 - 118
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (784 KB) | HTML iconHTML

    Petri Nets provide a graphical notation for modeling systems and performing analysis. Colored Petri Nets (CPNs) combine the strengths of ordinary Petri Nets with a high level programming language, making them more suitable for modeling large systems. A CPN model is an executable representation of a system that can be analyzed through simulation. CPN models are built using CPN Tools, a graphical so... View full abstract»

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  • Simulating small unit military operations with agent-based models of complex adaptive systems

    Publication Year: 2010, Page(s):119 - 134
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (223 KB) | HTML iconHTML

    This tutorial introduces concepts for modeling small unit combat as complex adaptive systems (CAS). It begins with a “human-centric” view of the individual combatant and small unit operations,which incorporates the concept of the individual as an integrated weapon system, the Warrior System. It addresses representation of situation awareness/situation understanding (SA/SU), and ... View full abstract»

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