Modeling and Simulation of Discrete Event Systems (Hardcover)

Byoung Kyu Choi

ISBN 10: 111838699X / ISBN 13: 9781118386996

Published by John Wiley & Sons Inc, New York, 2013

About this Item

Hardcover. 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 graphDiverse types of modeling templates and examples that can be used as building blocks for a complex, real-life modelA systematic, easy-to-follow procedure combined with sample C# codes for developing simulators in various modeling formalismsSimple tutorials as well as sample model files for using popular off-the-shelf simulators such as SIGMA, ACE, and ArenaUp-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. This book provides a comprehensive, systematic treatment of discrete event systems modeling and simulation, covering the five major breakthrough areas in modeling over the past sixty years, and integrating these areas into engineering s most widely used modeling and simulation systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781118386996

Bibliographic Details

• Title: Modeling and Simulation of Discrete Event Systems (Hardcover)
• Publisher: John Wiley & Sons Inc, New York
• Publication Date: 2013
• Language: English
• ISBN 10: 111838699X
• ISBN 13: 9781118386996
• Binding: Hardcover
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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.

About the Author

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.