- Format
- Häftad (Paperback)
- Språk
- Engelska
- Antal sidor
- 568
- Utgivningsdatum
- 2013-07-17
- Upplaga
- 5
- Förlag
- Pearson
- Medarbetare
- Carson, John / Nelson, Barry / Nicol, David
- Dimensioner
- 275 x 215 x 20 mm
- Vikt
- Antal komponenter
- 1
- ISBN
- 9781292024370
- 1180 g
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Discrete-Event System Simulation: Pearson New International Edition
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Innehållsförteckning
I Introduction to Discrete-Event System Simulation 1
Chapter 1 Introduction to Simulation 3
1.1 When Simulation Is the Appropriate Tool 4
1.2 When Simulation Is Not Appropriate 4
1.3 Advantages and Disadvantages of Simulation 5
1.4 Areas of Application 7
1.5 Systems and System Environment 9
1.6 Components of a System 9
1.7 Discrete and Continuous Systems 11
1.8 Model of a System 12
1.9 Types of Models 13
1.10 Discrete-Event System Simulation 13
1.11 Steps in a Simulation Study 14
References 18
Exercises 19
Chapter 2 Simulation Examples 21
2.1 Simulation of Queueing Systems 22
2.2 Simulation of Inventory Systems 39
2.3 Other Examples of Simulation 46
2.4 Summary 57
References 57
Exercises 57
Chapter 3 General Principles 67
3.1 Concepts in Discrete-Event Simulation 68
3.1.1 The Event Scheduling/Time Advance Algorithm 71
3.1.2 World Views 74
3.1.3 Manual Simulation Using Event Scheduling 77
3.2 List Processing 86
3.2.1 Lists: Basic Properties and Operations 87
3.2.2 Using Arrays for List Processing 88
3.2.3 Using Dynamic Allocation and Linked Lists 90
3.2.4 Advanced Techniques 92
3.3 Summary 92
References 92
Exercises 93
Chapter 4 Simulation Software 95
4.1 History of Simulation Software 96
4.1.1 The Period of Search (195560) 97
4.1.2 The Advent (196165) 97
4.1.3 The Formative Period (196670) 97
4.1.4 The Expansion Period (197178) 98
4.1.5 Consolidation and Regeneration (197986) 98
4.1.6 Integrated Environments (1987Present) 99
4.2 Selection of Simulation Software 99
4.3 An Example Simulation 102
4.4 Simulation in Java 104
4.5 Simulation in GPSS 112
4.6 Simulation in SSF 117
4.7 Simulation Software 120
4.7.1 Arena 122
4.7.2 AutoMod 123
4.7.3 Extend 124
4.7.4 Flexsim 124
4.7.5 Micro Saint 125
4.7.6 ProModel 125
4.7.7 QUEST 126
4.7.8 SIMUL8 127
4.7.9 WITNESS 128
4.8 Experimentation and Statistical-Analysis Tools 128
4.8.1 Common Features 128
4.8.2 Products 129
References 131
Exercises 132
II Mathematical and Statistical Models 147
Chapter 5 Statistical Models in Simulation 149
5.1 Review of Terminology and Concepts 150
5.2 Useful Statistical Models 156
5.3 Discrete Distributions 160
5.4 Continuous Distributions 166
5.5 Poisson Process 186
5.5.1 Properties of a Poisson Process 188
5.5.2 Nonstationary Poisson Process 189
5.6 Empirical Distributions 190
5.7 Summary 193
References 193
Exercises 193
Chapter 6 Queueing Models 201
6.1 Characte...
