Ebook Download Simulation Modeling and Analysis with ARENA, by Tayfur Altiok, Benjamin Melamed
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Simulation Modeling and Analysis with ARENA, by Tayfur Altiok, Benjamin Melamed
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Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings.
· Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems
· Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems
· Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling
* Ample end-of-chapter problems and full Solutions Manual
* Includes CD with sample ARENA modeling programs
- Sales Rank: #2043218 in eBooks
- Published on: 2010-07-26
- Released on: 2010-07-26
- Format: Kindle eBook
From the Back Cover
[Academic PRESS LOGO]
Technology: Engineering. General
Simulation Modeling and Analysis with Arena
Tayfur Altiok
Professor, Department of Industrial & Systems Engineering, Rutgers University
Piscataway, New Jersey
Benjamin Melamed
Professor, Department of Management Science and Information Systems, Rutgers University, Piscataway, New Jersey
KEY FEATURES
• Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems
• Covers essential workings of the popular animated simulation language Arena, including set-up, design parameters, input data, and output analysis
• Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling
• Chapters are devoted to a variety of Arena models capturing a range of real-world applications, including production lines, supply chains, transportation, and computer information systems.
Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment.” It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings.
Contents: Chapter 1 Introduction to Simulation Modeling; Chapter 2 Discrete Event Simulation; Chapter 3 Elements of Probability and Statistics; Chapter 4 Random Number and Variate Generation; Chapter 5 Arena Basics; Chapter 6 Model Testing and Debugging Facilities; Chapter 7 Input Analysis; Chapter 8 Model Goodness: Verification and Validation; Chapter 9 Output Analysis; Chapter 10 Correlation Analysis; Chapter 11 Modeling Production Lines; Chapter 12 Modeling Supply Chain Systems; Chapter 13 Modeling Transportation Systems; Chapter 14 Modeling Computer Information Systems; Appendix A Frequently Used Arena Constructs; Appendix B VBA in Arena.
Related titles:
Boucher: Design of Industrial Information Systems, 0-12-370492-8
Ross: Simulation, 3rd edition, 0-12-598063-9
Nelson et al: Introductory Statistics for Engineering Experimentation, 0-12-515423-2
About the Author
Rutgers University, New Brunswick, NJ
Most helpful customer reviews
6 of 7 people found the following review helpful.
Need Improvements
By Alessandro Silveira
I worked on the past with Arena and since 2005, I did not have more contact with this simulator, for this reason I took the decision to buy a book, just to refresh my knowledge.
I would like to give 5 stars for this one, but even thinking about 3 stars, you have to be very generous.
The content on the index gives the impression that the book will cover the main subjects. But when you start to do the examples, you have to decipher some steps that are not clear.
I spent so much time just looking for the right information, mainly because the final reports do not match with the book examples.
The exercises available do not have answers, so you will never know if you are on the right direction.
I am very disappointed with this book, I took the decision to buy another one (Simulation with Arena by W. Kelton, R. Sadowski and N. Swets)
0 of 0 people found the following review helpful.
Good book
By Karina
Simulation modeling is a Good book,explained step by step,good to basic learning and more advanced too. Good bye good bye
0 of 0 people found the following review helpful.
+A
By Shad
Very good used book
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