Byoung Kyu Choi, Donghun Kang

Modeling and Simulation of Discrete Event Systems (eBook, PDF)

• Format: PDF

Produktbeschreibung

Computer modeling and simulation (M&S) allows engineers to study and analyze complex systems. Discrete-event system (DES)-M&S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M&S tools become more powerful and more widely used in solving real-life problems. Based on over 20 years of evolution within a classroom environment, as well as on decades-long experience in developing simulation-based solutions for high-tech industries, Modeling and Simulation of Discrete-Event Systems is the only book on DES-M&S in which all the major DES modeling formalisms - activity-based, process-oriented, state-based, and event-based - are covered in a unified manner: * A well-defined procedure for building a formal model in the form of event graph, ACD, or state graph * Diverse types of modeling templates and examples that can be used as building blocks for a complex, real-life model * A systematic, easy-to-follow procedure combined with sample C# codes for developing simulators in various modeling formalisms * Simple tutorials as well as sample model files for using popular off-the-shelf simulators such as SIGMA®, ACE®, and Arena® * Up-to-date research results as well as research issues and directions in DES-M&S Modeling and Simulation of Discrete-Event Systems is an ideal textbook for undergraduate and graduate students of simulation/industrial engineering and computer science, as well as for simulation practitioners and researchers.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 432
• Erscheinungstermin: 7. August 2013
• Englisch
• ISBN-13: 9781118732854
• Artikelnr.: 39478053

Autorenporträt

Byoung Kyu Choi is a professor in the Department of Industrial and Systems Engineering, KAIST, in Korea and a distinguished adjunct professor of Computer Science at KAU in Saudi Arabia. He received his PhD in Manufacturing Systems Engineering from Purdue University. Since 1983, he has taught and researched in the areas of CAD/CAM and system modeling at KAIST. Donghun Kang received his PhD in Industrial and Systems Engineering from KAIST and has been working as a postdoctoral researcher at KAIST since February 2011.

Inhaltsangabe

PREFACE xvii ABBREVIATIONS xix PART I BASICS OF SYSTEM MODELING AND
SIMULATION 1 1. Overview of Computer Simulation 3 1.1 Introduction 3 1.2
What Is a System? 4 1.3 What Is Computer Simulation? 6 1.4 What Is
Discrete-Event Simulation? 9 1.5 What Is Continuous Simulation? 11 1.6 What
Is Monte Carlo Simulation? 12 1.7 What Are Simulation Experimentation and
Optimization? 15 1.8 Review Questions 16 2. Basics of Discrete-Event System
Modeling and Simulation 17 2.1 Introduction 17 2.2 How Is a Discrete-Event
Simulation Carried Out? 17 2.3 Framework of Discrete-Event System Modeling
23 2.4 Illustrative Examples of DES Modeling and Simulation 32 2.5
Application Frameworks for Discrete-Event System Modeling and Simulation 38
2.6 What to Cover in a Simulation Class 40 2.7 Review Questions 42 PART II
FUNDAMENTALS OF DISCRETE-EVENT SYSTEM MODELING AND SIMULATION 43 3. Input
Modeling for Simulation 45 3.1 Introduction 45 3.2 Empirical Input Modeling
46 3.3 Overview of Theoretical Distribution Fitting 48 3.4 Theoretical
Modeling of Arrival Processes 50 3.5 Theoretical Modeling of Service Times
53 3.6 Input Modeling for Special Applications 57 3.7 Review Questions 59
4. Introduction to Event-Based Modeling and Simulation 69 4.1 Introduction
69 4.2 Modeling and Simulation of a Single Server System 70 4.3 Execution
Rules and Specifications of Event Graph Models 72 4.4 Event Graph Modeling
Templates 75 4.5 Event Graph Modeling Examples 82 4.6 Execution of Event
Graph Models with SIGMA 91 4.7 Developing Your Own Event Graph Simulator 99
4.8 Review Questions 106 5. Parameterized Event Graph Modeling and
Simulation 107 5.1 Introduction 107 5.2 Parameterized Event Graph Examples
108 5.3 Execution Rules and Specifications of the Parameterized Event Graph
110 5.4 Parameterized Event Graph Modeling of Tandem Lines 112 5.5
Parameterized Event Graph Modeling of Job Shops 115 5.6 Execution of
Parameterized Event Graph Models Using SIGMA 122 5.7 Developing Your Own
Parameterized Event Graph Simulator 137 5.8 Review Questions 142 6.
Introduction to Activity-Based Modeling and Simulation 143 6.1 Introduction
143 6.2 Definitions and Specifications of an Activity Cycle Diagram 145 6.3
Activity Cycle Diagram Modeling Templates 150 6.4 Activity-Based Modeling
Examples 156 6.5 Parameterized Activity Cycle Diagram and Its Application
163 6.6 Execution of Activity Cycle Diagram Models with a Formal Simulator
ACE(r) 171 6.7 Review Questions 183 7. Simulation of ACD Models Using Arena
184 7.1 Introduction 184 7.2 Arena Basics 185 7.3 Activity Cycle
Diagram-to-Arena Conversion Templates 197 7.4 Activity Cycle Diagram-Based
Arena Modeling Examples 209 7.5 Review Questions 223 8. Output Analysis and
Optimization 224 8.1 Introduction 224 8.2 Framework of Simulation Output
Analyses 225 8.3 Qualitative Output Analyses 228 8.4 Statistical Output
Analyses 230 8.5 Linear Regression Modeling for Output Analyses 234 8.6
Response Surface Methodology for Simulation Optimization 241 8.7 Review
Questions 247 PART III ADVANCES IN DISCRETE-EVENT SYSTEM MODELING AND
SIMULATION 253 9. State-Based Modeling and Simulation 255 9.1 Introduction
255 9.2 Finite State Machine 256 9.3 Timed Automata 261 9.4 State Graphs
267 9.5 System Modeling with State Graph 271 9.6 Simulation of Composite
State Graph Models 283 10. Advanced Topics in Activity-Based Modeling and
Simulation 299 10.1 Introduction 299 10.2 Developing Your Own Activity
Cycle Diagram Simulators 300 10.3 Modeling with Canceling Arc 310 10.4
Cycle Time Analysis of Work Cells via an Activity Cycle Diagram 313 10.5
Activity Cycle Diagram Modeling of a Flexible Manufacturing System 322 10.6
Formal Model Conversion 329 11. Advanced Event Graph Modeling for
Integrated Fab Simulation 338 11.1 Introduction 338 11.2 Flat Panel Display
Fabrication System 339 11.3 Production Simulation of a Flat Panel Display
Fab 343 11.4 Integrated Simulation of a Flat Panel Display Fab 350 11.5
Automated Material Handling Systems-Embedded Integrated Simulation of Flat
Panel Display Fab 362 12. Concepts and Applications of Parallel Simulation
371 12.1 Introduction 371 12.2 Parallel Simulation of Workflow Management
System 372 12.3 Overview of High-Level Architecture/Run-Time Infrastructure
378 12.4 Implementation of a Parallel Simulation with High-Level
Architecture/Run-Time Infrastructure 383 REFERENCES 395 INDEX 400