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Discrete Event Simulation Using ExtendSim 10 by Jeffrey Strickland (2023, Hardcover)
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About this product
Product Identifiers
PublisherLulu Press, Inc.
ISBN-101716202825
ISBN-139781716202827
eBay Product ID (ePID)5061623247
Product Key Features
Number of Pages436 Pages
Publication NameDiscrete Event Simulation Using Extendsim 10
LanguageEnglish
SubjectData Modeling & Design, Probability & Statistics / Stochastic Processes, Computer Simulation
Publication Year2023
TypeTextbook
AuthorJeffrey Strickland
Subject AreaMathematics, Computers
FormatHardcover
Dimensions
Item Height1.3 in
Item Weight33.7 Oz
Item Length9 in
Item Width6 in
Additional Product Features
Intended AudienceTrade
Table Of ContentCHAPTER 1. Introduction to Modeling and Simulation What are a models and simulations? Why use models When to use simulations How to simulate Types of simulations: How is simulation performed? The Importance of Simulation Benefits of Simulation Limitations of SimulationCHAPTER 2. Step-by-Step Discrete Event Simulation Discrete Event Simulation Model Development A Single-Server (M/M/1) QueueCHAPTER 3. Probability and Statistics for Simulation Normal Distributions Sampling Distribution Central Limit Theorem Exponential Density Function Poisson Process Goodness-of-Fit Tests Analyzing Input Data with Stat::Fit Random Number Generators Testing for Randomness Statistics for Correlated Output DataCHAPTER 4. INTRODUCTION TO EXTENDSIM 10 What is ExtendSim? Getting Started with the M/M/1 Queue Enhancing the Model & Queuing FundamentalsCHAPTER 5. Techniques for the Steady State Simulation Influences on Mean Estimation Characteristics of Data from Dynamic Simulations Building the MM1 Queue Model Enhancements Initial Transient Period Autocorrelation and Transient Period CHAPTER 6. Simulation of a Bank Service Problem to Solve Bank Lobby Service Model Basic Bank Lobby Collecting Results in Databases Export Data to a Spreadsheet Bank Lobby with Scheduled Tellers Resources and Costs Modeling Resource Pools Schedule Activity ResourcesCHAPTER 7. Hierarchical Modeling Building a Hierarchical Bank Lobby Model Adding Drawing Objects Adding Buttons Using the Model Interface UtilityCHAPTER 8. Circuit Card Manufacturing (Advanced Queuing Processes) Extends Item Library The Circuit Card Manufacturing Process Building Model in Stages Model Verification & Validation Running the model of the "as is" system Experimenting with the model Calculating production costsCHAPTER 9. Detailed Modeling Transportation Systems: Package Delivery Service Package Delivery Service Simulation Setup and Run Animating the Transportation Model Adding Cost to the Transportation ModelCHAPTER 10. Simulating Availability of Software Reliability - Where it Starts Simulation Nodes Distribution and Event Builders Building the Model Nodes Inherent Availability Operational Availability System Outages Achieved Availability ResultCHAPTER 11. Guided Project The Problem Reliability Diagrams Building the ModelCHAPTER 12. Probability Sampling Distributions
SynopsisThis book characterizes the discrete event simulation and analysis using ExtendSim 10. It is a blend between theory and application leaning largely to the weight of the latter. Since the ExtendSim 8 version of the book (13 years ago) there has been significant improvements to ExtendSim, including the new Reliability library incorporated in this new, enhanced edition of the first book. There are two new chapters, one include a model simulating software reliability and inherent availability and the other is a guided project addressing the Launch Availability of a crew launch vehicle (CLV) for a limited launch window.For those unfamiliar with the first edition, there is coverage of just-enough queuing theory for building discrete event models, using the M/M/1 queuing problem involving warmup and steady-state phenomena, as well as methods for analysis and corrective adjustments. Probability distributions and their inverse transfers for random sampling are covered. The StatFit application is used for fitting and analyzing data, including goodness of fit testing. Also, there is an in-depth treatment of random number generators. A bank model is used to demonstrate hierarchical modeling and basic simulation animation. Advanced queuing processes are addressed using a circuit board production example. Detailed modeling is covered using a delivery system transfer depot handing packages for domestic delivery., This book characterizes the discrete event simulation and analysis using ExtendSim 10. It is a blend between theory and application leaning largely to the weight of the latter. Since the ExtendSim 8 version of the book (13 years ago) there has been significant improvements to ExtendSim, including the new Reliability library incorporated in this new, enhanced edition of the first book. There are two new chapters, one include a model simulating software reliability and inherent availability and the other is a guided project addressing the Launch Availability of a crew launch vehicle (CLV) for a limited launch window. For those unfamiliar with the first edition, there is coverage of just-enough queuing theory for building discrete event models, using the M/M/1 queuing problem involving warmup and steady-state phenomena, as well as methods for analysis and corrective adjustments. Probability distributions and their inverse transfers for random sampling are covered. The StatFit application is used for fitting and analyzing data, including goodness of fit testing. Also, there is an in-depth treatment of random number generators. A bank model is used to demonstrate hierarchical modeling and basic simulation animation. Advanced queuing processes are addressed using a circuit board production example. Detailed modeling is covered using a delivery system transfer depot handing packages for domestic delivery.
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