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离散事件系统仿真：英文版
作者：（美）Jerry Banks等著
出版社：机械工业出版社
出版时间：2005-09-01
ISBN：9787111171942
定价：¥65.00
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内容简介
内容简介目录 本书论述了离散事件系统仿真的所有重要方面，全面讨论了正确的数据收集与分析、解析技术的使用、模型的验证以及适当的仿真实验设计。熟悉微积分、概率论以及初等统计学的知识将有助于阅读本书。第4版中对全书内容进行了广泛的更新，反映了软件与方法学的最新进展，并对某些章节进行了彻底修订，同时增加了有关制造与物料储运系统仿真、计算机系统仿真以及通信系统仿真的新章节。本书可作为高等院校工程系、管理系、计算机科学系等高年级本科生或低年级研究生的仿真课程的教材。读者可以从网站www.bcnn.net中获取本书的相关资料。 目录： 1： Introduction 2： Simulation Examples 3： General Principles 4： Simulation Software 5： Statistical Models in Simulation 6： Queueing Models 7： Random-number Generation 8： Random-variate Generation 9： Input Modeling 10： V&V 11： Output Analysis for a Single Model 12： Comparing Multiple Designs 13： Simulation of Mfg. & MH Systems 14： Simulation of Computer Systems 15： Simulation of Communication Systems
作者简介
JerryBanks佐治亚理工大学工业及系统工程学院退休教授。目前他是一名高级仿真技术咨询专家。他写了很多著作，是包括工业工程师协会（IIE）在内的许多技术学会的全职会员，并在2002年成为IIE的特别会员。BrooksAutomation公司AutoMod产品部咨询技术经理。他是一名独立的仿真咨询专家，并在佐治亚理工大学、佛罗里达大学以及威斯康星大学麦迪逊分校任教。BarryL.Nelson西北大学工业工程及管理科学系教授、工程管理计划的硕士研究生导师，并担任TIMS仿真学会的主席。他的研究方向为随机系统模型的计算机仿真实验的设计和分析。他已经发表了大量文章，并出版了两本专著。DavidM.Nicol伊利诺伊大学厄巴纳-尚佩恩分校电气及计算机工程系教授。他在并行及分布式离散事件系统仿真领域有着丰富的经验。他目前的研究方向是超大系统特别是通信及其他基础设施的建模与仿真。Nicol教授同时也是IEEE的特别会员。相关图书80X86汇编语言与计算机体系结构计算机科学概论（英文版·第2版）分布式系统概念设计Java2专家导引（英文版·第3版）复分析基础及工程应用（英文版.第3版）支持向量机导论（英文版）Java程序设计导论（英文版·第5版）数据挖掘：实用机器学习技术（英文版·第2版）UML参考手册（第2版）数字通信导论复杂SoC设计（英文版）UML参考手册（英文版·第2版）计算理论导引实用软件工程（英文版）计算机取证（英文版）EffectiveC#（英文版）UNIX教程（英文版·第2版）软件测试（英文版第2版）设计模式精解（英文版第2版）实分析和概率论-经典原版书库（英文版.第2版）软件过程改进（英文版）计算机体系结构：量化研究方法：第3版调和分析导论（英文第三版）人工智能：智能系统指南（英文版）第二版电力系统分析（英文版·第2版）面向计算机科学的数理逻辑：系统建模与推理（英文版·第2版）数学规划导论英文版抽样理论与方法（英文版）机器视觉教程（英文版）（含盘）电子设计自动化基础（英文版）Java教程（英文版·第2版）软件需求管理：用例方法（英文版·第2版）基于FPGA的系统设计（英文版）基于用例的面向方面软件开发（英文版）Linux内核编程必读-经典原版书库
目录
Preface
AbouttheAuthors
IIntroductiontoDiscrete-EventSystemSimulation
Chapter1IntroductiontoSimulation
1.1WhenSimulationIstheAppropriateTool
1.2WhenSimulationIsNotAppropriate
1.3AdvantagesandDisadvantagesofSimulation
1.4AreasofApplication
1.5SystemsandSystemEnvironment
1.6ComponentsofaSystem
1.7DiscreteandContinuousSystems
1.8ModelofaSystem
1.9TypesofModels
1.10Discrete-EventSystemSimulation
1.11StepsinaSimulationStudy
References
Exercises
Chapter2SimulationExamples
2.1SimulationofQueueingSystems
2.2SimulationofInventorySystems
2.3OtherExamplesofSimulation
2.4Summary
References
Exercises
Chapter3GeneralPrinciples
3.1ConceptsinDiscrete-EventSimulation
3.1.1TheEventScheduling/TimeAdvanceAlgol
3.1.2WorldViews
3.1.3ManualSimulationUsingEventSchedulin~
3.2ListProcessing
3.2.1Lists:BasicPropertiesandOperations
3.2.2UsingArraysforListProcessing
3.2.3UsingDynamicAllocationandLinkedList:
3.2.4AdvancedTechniques
3.3Summary
References
Exercises
Chapter4SimulationSoftware
4.1HistoryofSimulationSoftware
4.1.1ThePeriodofSearch(1955-60)
4.1.2TheAdvent(1961-65)
4.1.3TheFormativePeriod(1966-70)
4.1.4TheExpansionPeriod(1971-78)
4.1.5ConsolidationandRegeneration(1979-86)
4.1.6IntegratedEnvironments(1987-Present)
4.2SelectionofSimulationSoftware
4.3AnExampleSimulation
4.4SimulationinJava
4.5SimulationinGPSS
4.6SimulationinSSF
4.7SimulationSoftware
4.7.1Arena
4.7.2AutoMod
4.7.3Extend
4.7.4Flexsim
4.7.5MicroSaint
4.7.6ProModel
4.7.7QUEST
4.7.8SIMUL8
4.7.9WITNESS
&8ExperimentationandStatistical-AnalysisTools
4.8.1CommonFeatures
4.8.2Products
References
Exercises
IIMathematicalandStatisticalModels
Chapter5StatisticalModelsinSimulation
5.1ReviewofTerminologyandConcepts
5.2UsefulStatisticalModels
5.3DiscreteDistributions
5.4ContinuousDistributions
5.5PoissonProcess
5.5.1PropertiesofaPoissonProcess
5.5.2NonstationaryPoissonProcess
5.6EmpiricalDistributions
5.7Summary
References
Exercises
Chapter6QueueingModels
6.1CharacteristicsofQueueingSystems
6.1.1TheCallingPopulation
6.1.2SystemCapacity
6.1.3TheArrivalProcess
6.1.4QueueBehaviorandQueueDiscipline
6.1.5ServiceTimesandtheServiceMechanism
6.2QueueingNotation
6.3Long-RunMeasuresofPerformanceofQueueingSystems
6.3.1Time-AverageNumberinSystemL
6.3.2AverageTimeSpentinSystemPerCustomerw
6.3.3TheConservationEquation:L=λw
6.3.4ServerUtilization
6.3.5CostsinQueueingProblems
6.4Steady-StateBehaviorofInfinite-PopulationMarkovianModels
6.4.1Single-ServerQueueswithPoissonArrivalsandUnlimitedCapacity:M/G/1
6.4.2MultiserverQueue:M/M/c/∞/∞
6.4.3MultiserverQueueswithPoissonArrivalsandLimitedCapacity:M/M/c/N/oo
6.5Steady-StateBehaviorofFinite-PopulationModels(M/M/c/K/K)
NetworksofQueues
Summary
References
Exercises
IIIRandomNumbers
Chapter7Random-NumberGeneration
7.1PropertiesofRandomNumbers
7.2GenerationofPseudo-RandomNumbers
7.3TechniquesforGeneratingRandomNumbers
7.3.1LinearCongmentialMethod
7.3.2CombinedLinearCongruentialGenerators
7.3.3Random-NumberStreams
7.4TestsforRandomNumbers
7.4.1FrequencyTests
7.4.2TestsforAutocorrelation
7.5Summary
References
Exercises
Chapter8Random-VariateGeneration
8.1Inverse-TransformTechnique
8.1.1ExponentialDistribution
8.1.2UniformDistribution
8.1.3WeibullDistribution
8.1.4TriangularDistribution
8.1.5EmpiricalContinuousDistributions
8.1.6ContinuousDistributionswithoutaClosed-FormInverse
8.1.7DiscreteDistributions
8.2Acceptance-RejectionTechnique
8.2.1PoissonDistribution
8.2.2NonstationaryPoissonProcess
8.2.3GammaDistribution
8.3SpecialProperties
8.3.1DirectTransformationfortheNormalandLognormalDistributions
8.3.2ConvolutionMethod
8.3.3MoreSpecialProperties
8.4Summary
References
Exercises
AnalysisofSimulationData
Chapter9InputModeling
9.1DataCollection
9.2IdentifyingtheDistributionwithData
9.2.1Histograms
9.2.2SelectingtheFamilyofDistributions
9.2.3Quantile-QuantilePlots
9.3ParameterEstimation
9.3.1PreliminaryStatistics:SampleMeanandSampleVariance
9.3.2SuggestedEstimators
9.4Goodness-of-FitTests
9.4.1Chi-SquareTest
9.4.2Chi-SquareTestwithEqualProbabilities
9.4.3Kolmogorov-SmimovGoodness-of-FitTest
9.4.4p-Valuesand"BestFits"
9.5FittingaNonstationaryPoissonProcess
9.6SelectingInputModelswithoutData
9.7MultivariateandTime-SeriesInputModels
9.7.1CovarianceandCorrelation
9.7.2MultivariateInputModels
9.7.3Time-SeriesInputModels
9.7.4TheNormal-to-AnythingTransformation
9.8Summary
References
Exercises
Chapter10VerificationandValidationofSimulationModels
10.1Model-Building,Verification,andValidation
10.2VerificationofSimulationModels
10.3CalibrationandValidationofModels
10.3.1FaceValidity
10.3.2ValidationofModelAssumptions
10.3.3ValidatingInput-OutputTransformations
10.3.4Input-OutputValidation:UsingHistoricalInputData
10.3.5Input-OutputValidation:UsingaTuringTest
10.4Summary
References
Exercises
Chapter11OutputAnalysisforaSingleModel
11.1TypesofSimulationswithRespecttoOutputAnalysis
11.2StochasticNatureofOutputData
11.3MeasuresofPerformanceandTheirEstimation
H.3.1PointEstimation
11.3.2Confidence-IntervalEstimation
11.4OutputAnalysisforTerminatingSimulations
11.4.1StatisticalBackground
11.4.2ConfidenceIntervalswithSpecifiedPrecision
11.4.3Quantiles
11.4.4EstimatingProbabilitiesandQuantilesfromSummaryData
11.5OutputAnalysisforSteady-StateSimulations
11.5.1InitializationBiasinSteady-StateSimulations
11.5.2ErrorEstimationforSteady-StateSimulation
l1.5.3ReplicationMethodforSteady-StateSimulations
11.5.4SampleSizeinSteady-StateSimulations
11.5.5BatchMeansforIntervalEstimationinSteady-StateSimulations
11.5.6Quantiles
11.6Summary
References
Exercises
Chapter12ComparisonandEvaluationofAlternativeSystemDesigns
12.1ComparisonofTwoSystemDesigns
12.1.1IndependentSamplingwithEqualVariances
12.1.2IndependentSamplingwithUnequalVariances
12.1.3CommonRandomNumbers(CRN)
12.1.4ConfidenceIntervalswithSpecifiedPrecision
12.2ComparisonofSeveralSystemDesigns
12.2.1BonferroniApproachtoMultipleComparisons
12.2.2BonferroniApproachtoSelectingtheBest
12.2.3BonferroniApproachtoScreening
12.3Metamodeling
12.3.1SimpleLinearRegression
12.3.2TestingforSignificanceofRegression
12.3.3MultipleLinearRegression
12.3.4Random-NumberAssignmentforRegression
12.4OptimizationviaSimulation
12.4.1WhatDoes'OptimizationviaSimulation'Mean?
12.4.2WhyisOptimizationviaSimulationDifficult?
12.4.3UsingRobustHeuristics
12.4.4AnIllustration:RandomSearch
Summary
References
Exercises
VApplications
Chapter13SimulationofManufacturingandMaterial-HandlingSystems
13.1ManufacturingandMaterial-HandlingSimulations
13.1.1ModelsofManufacturingSystems
13.1.2ModelsofMaterial-Handling
13.1.3SomeCommonMaterial-HandlingEquipment
13.2GoalsandPerformanceMeasures
13.3IssuesinManufacturingandMaterial-HandlingSimulations
13.3.1ModelingDowntimesandFailures
13.3.2Trace-DrivenModels
13.4CaseStudiesoftheSimulationofManufacturingandMaterial-HandlingSystems
13.5ManufacturingExample:AJob-ShopSimulation
13.5.1SystemDescriptionandModelAssumptions
13.5.2PresimulationAnalysis
13.5.3SimulationModelandAnalysisoftheDesignedSystem
13.5.4AnalysisofStationUtilization
13.5.5AnalysisofPotentialSystemImprovements
13.5.6ConcludingWords
13.6Summary
References
Exercises
Chapter14SimulationofComputerSystems
14.1Introduction
14.2SimulationTools
14.2.1ProcessOrientation
14.2.2EventOrientation
14.3ModelInput
14.3.1ModulatedPoissonProcess
14.3.2Virtual-MemoryReferencing
14.4High-LevelComputer-SystemSimulation
14.5CPUSimulation
14.6MemorySimulation
14.7Summary
References
Exercises
Chapter15SimulationofComputerNetworks
15.1Introduction
15.2TrafficModeling
15.3MediaAccessControl
15.3.1Token-PassingProtocols
15.3.2Ethernet
15.4DataLinkLayer
15.5TCP
15.6ModelConstruction
15.6.1Construction
15.6.2Example
15.7Summary
References
Exercises
Appendix
Index
AbouttheAuthors
IIntroductiontoDiscrete-EventSystemSimulation
Chapter1IntroductiontoSimulation
1.1WhenSimulationIstheAppropriateTool
1.2WhenSimulationIsNotAppropriate
1.3AdvantagesandDisadvantagesofSimulation
1.4AreasofApplication
1.5SystemsandSystemEnvironment
1.6ComponentsofaSystem
1.7DiscreteandContinuousSystems
1.8ModelofaSystem
1.9TypesofModels
1.10Discrete-EventSystemSimulation
1.11StepsinaSimulationStudy
References
Exercises
Chapter2SimulationExamples
2.1SimulationofQueueingSystems
2.2SimulationofInventorySystems
2.3OtherExamplesofSimulation
2.4Summary
References
Exercises
Chapter3GeneralPrinciples
3.1ConceptsinDiscrete-EventSimulation
3.1.1TheEventScheduling/TimeAdvanceAlgol
3.1.2WorldViews
3.1.3ManualSimulationUsingEventSchedulin~
3.2ListProcessing
3.2.1Lists:BasicPropertiesandOperations
3.2.2UsingArraysforListProcessing
3.2.3UsingDynamicAllocationandLinkedList:
3.2.4AdvancedTechniques
3.3Summary
References
Exercises
Chapter4SimulationSoftware
4.1HistoryofSimulationSoftware
4.1.1ThePeriodofSearch(1955-60)
4.1.2TheAdvent(1961-65)
4.1.3TheFormativePeriod(1966-70)
4.1.4TheExpansionPeriod(1971-78)
4.1.5ConsolidationandRegeneration(1979-86)
4.1.6IntegratedEnvironments(1987-Present)
4.2SelectionofSimulationSoftware
4.3AnExampleSimulation
4.4SimulationinJava
4.5SimulationinGPSS
4.6SimulationinSSF
4.7SimulationSoftware
4.7.1Arena
4.7.2AutoMod
4.7.3Extend
4.7.4Flexsim
4.7.5MicroSaint
4.7.6ProModel
4.7.7QUEST
4.7.8SIMUL8
4.7.9WITNESS
&8ExperimentationandStatistical-AnalysisTools
4.8.1CommonFeatures
4.8.2Products
References
Exercises
IIMathematicalandStatisticalModels
Chapter5StatisticalModelsinSimulation
5.1ReviewofTerminologyandConcepts
5.2UsefulStatisticalModels
5.3DiscreteDistributions
5.4ContinuousDistributions
5.5PoissonProcess
5.5.1PropertiesofaPoissonProcess
5.5.2NonstationaryPoissonProcess
5.6EmpiricalDistributions
5.7Summary
References
Exercises
Chapter6QueueingModels
6.1CharacteristicsofQueueingSystems
6.1.1TheCallingPopulation
6.1.2SystemCapacity
6.1.3TheArrivalProcess
6.1.4QueueBehaviorandQueueDiscipline
6.1.5ServiceTimesandtheServiceMechanism
6.2QueueingNotation
6.3Long-RunMeasuresofPerformanceofQueueingSystems
6.3.1Time-AverageNumberinSystemL
6.3.2AverageTimeSpentinSystemPerCustomerw
6.3.3TheConservationEquation:L=λw
6.3.4ServerUtilization
6.3.5CostsinQueueingProblems
6.4Steady-StateBehaviorofInfinite-PopulationMarkovianModels
6.4.1Single-ServerQueueswithPoissonArrivalsandUnlimitedCapacity:M/G/1
6.4.2MultiserverQueue:M/M/c/∞/∞
6.4.3MultiserverQueueswithPoissonArrivalsandLimitedCapacity:M/M/c/N/oo
6.5Steady-StateBehaviorofFinite-PopulationModels(M/M/c/K/K)
NetworksofQueues
Summary
References
Exercises
IIIRandomNumbers
Chapter7Random-NumberGeneration
7.1PropertiesofRandomNumbers
7.2GenerationofPseudo-RandomNumbers
7.3TechniquesforGeneratingRandomNumbers
7.3.1LinearCongmentialMethod
7.3.2CombinedLinearCongruentialGenerators
7.3.3Random-NumberStreams
7.4TestsforRandomNumbers
7.4.1FrequencyTests
7.4.2TestsforAutocorrelation
7.5Summary
References
Exercises
Chapter8Random-VariateGeneration
8.1Inverse-TransformTechnique
8.1.1ExponentialDistribution
8.1.2UniformDistribution
8.1.3WeibullDistribution
8.1.4TriangularDistribution
8.1.5EmpiricalContinuousDistributions
8.1.6ContinuousDistributionswithoutaClosed-FormInverse
8.1.7DiscreteDistributions
8.2Acceptance-RejectionTechnique
8.2.1PoissonDistribution
8.2.2NonstationaryPoissonProcess
8.2.3GammaDistribution
8.3SpecialProperties
8.3.1DirectTransformationfortheNormalandLognormalDistributions
8.3.2ConvolutionMethod
8.3.3MoreSpecialProperties
8.4Summary
References
Exercises
AnalysisofSimulationData
Chapter9InputModeling
9.1DataCollection
9.2IdentifyingtheDistributionwithData
9.2.1Histograms
9.2.2SelectingtheFamilyofDistributions
9.2.3Quantile-QuantilePlots
9.3ParameterEstimation
9.3.1PreliminaryStatistics:SampleMeanandSampleVariance
9.3.2SuggestedEstimators
9.4Goodness-of-FitTests
9.4.1Chi-SquareTest
9.4.2Chi-SquareTestwithEqualProbabilities
9.4.3Kolmogorov-SmimovGoodness-of-FitTest
9.4.4p-Valuesand"BestFits"
9.5FittingaNonstationaryPoissonProcess
9.6SelectingInputModelswithoutData
9.7MultivariateandTime-SeriesInputModels
9.7.1CovarianceandCorrelation
9.7.2MultivariateInputModels
9.7.3Time-SeriesInputModels
9.7.4TheNormal-to-AnythingTransformation
9.8Summary
References
Exercises
Chapter10VerificationandValidationofSimulationModels
10.1Model-Building,Verification,andValidation
10.2VerificationofSimulationModels
10.3CalibrationandValidationofModels
10.3.1FaceValidity
10.3.2ValidationofModelAssumptions
10.3.3ValidatingInput-OutputTransformations
10.3.4Input-OutputValidation:UsingHistoricalInputData
10.3.5Input-OutputValidation:UsingaTuringTest
10.4Summary
References
Exercises
Chapter11OutputAnalysisforaSingleModel
11.1TypesofSimulationswithRespecttoOutputAnalysis
11.2StochasticNatureofOutputData
11.3MeasuresofPerformanceandTheirEstimation
H.3.1PointEstimation
11.3.2Confidence-IntervalEstimation
11.4OutputAnalysisforTerminatingSimulations
11.4.1StatisticalBackground
11.4.2ConfidenceIntervalswithSpecifiedPrecision
11.4.3Quantiles
11.4.4EstimatingProbabilitiesandQuantilesfromSummaryData
11.5OutputAnalysisforSteady-StateSimulations
11.5.1InitializationBiasinSteady-StateSimulations
11.5.2ErrorEstimationforSteady-StateSimulation
l1.5.3ReplicationMethodforSteady-StateSimulations
11.5.4SampleSizeinSteady-StateSimulations
11.5.5BatchMeansforIntervalEstimationinSteady-StateSimulations
11.5.6Quantiles
11.6Summary
References
Exercises
Chapter12ComparisonandEvaluationofAlternativeSystemDesigns
12.1ComparisonofTwoSystemDesigns
12.1.1IndependentSamplingwithEqualVariances
12.1.2IndependentSamplingwithUnequalVariances
12.1.3CommonRandomNumbers(CRN)
12.1.4ConfidenceIntervalswithSpecifiedPrecision
12.2ComparisonofSeveralSystemDesigns
12.2.1BonferroniApproachtoMultipleComparisons
12.2.2BonferroniApproachtoSelectingtheBest
12.2.3BonferroniApproachtoScreening
12.3Metamodeling
12.3.1SimpleLinearRegression
12.3.2TestingforSignificanceofRegression
12.3.3MultipleLinearRegression
12.3.4Random-NumberAssignmentforRegression
12.4OptimizationviaSimulation
12.4.1WhatDoes'OptimizationviaSimulation'Mean?
12.4.2WhyisOptimizationviaSimulationDifficult?
12.4.3UsingRobustHeuristics
12.4.4AnIllustration:RandomSearch
Summary
References
Exercises
VApplications
Chapter13SimulationofManufacturingandMaterial-HandlingSystems
13.1ManufacturingandMaterial-HandlingSimulations
13.1.1ModelsofManufacturingSystems
13.1.2ModelsofMaterial-Handling
13.1.3SomeCommonMaterial-HandlingEquipment
13.2GoalsandPerformanceMeasures
13.3IssuesinManufacturingandMaterial-HandlingSimulations
13.3.1ModelingDowntimesandFailures
13.3.2Trace-DrivenModels
13.4CaseStudiesoftheSimulationofManufacturingandMaterial-HandlingSystems
13.5ManufacturingExample:AJob-ShopSimulation
13.5.1SystemDescriptionandModelAssumptions
13.5.2PresimulationAnalysis
13.5.3SimulationModelandAnalysisoftheDesignedSystem
13.5.4AnalysisofStationUtilization
13.5.5AnalysisofPotentialSystemImprovements
13.5.6ConcludingWords
13.6Summary
References
Exercises
Chapter14SimulationofComputerSystems
14.1Introduction
14.2SimulationTools
14.2.1ProcessOrientation
14.2.2EventOrientation
14.3ModelInput
14.3.1ModulatedPoissonProcess
14.3.2Virtual-MemoryReferencing
14.4High-LevelComputer-SystemSimulation
14.5CPUSimulation
14.6MemorySimulation
14.7Summary
References
Exercises
Chapter15SimulationofComputerNetworks
15.1Introduction
15.2TrafficModeling
15.3MediaAccessControl
15.3.1Token-PassingProtocols
15.3.2Ethernet
15.4DataLinkLayer
15.5TCP
15.6ModelConstruction
15.6.1Construction
15.6.2Example
15.7Summary
References
Exercises
Appendix
Index
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