Discrete-Event System Simulation: Pearson New International Edition (häftad)
Fler böcker inom
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
1180 g
Antal komponenter
1
ISBN
9781292024370
Discrete-Event System Simulation: Pearson New International Edition (häftad)

Discrete-Event System Simulation: Pearson New International Edition

Häftad Engelska, 2013-07-17
879
  • Skickas inom 7-10 vardagar.
  • Gratis frakt inom Sverige över 199 kr för privatpersoner.
For junior- and senior-level simulation courses in engineering, business, or computer science.

While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate to all such tools. This language-independent text explains the basic aspects of the technology, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. It offers an up-to-date treatment of simulation of manufacturing and material handling systems, computer systems, and computer networks.

Students and instructors will find a variety of resources at the associated website, www.bcnn.net/, including simulation source code for download, additional exercises and solutions, web links and errata.
Visa hela texten

Passar bra ihop

  1. Discrete-Event System Simulation: Pearson New International Edition
  2. +
  3. The Watch Book Rolex

De som köpt den här boken har ofta också köpt The Watch Book Rolex av Gisbert L Brunner (inbunden).

Köp båda 2 för 1549 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av Jerry Banks

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...