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Discrete-Event System Simulation, by Jerry Banks, John S., II Carson, Barry L. Nelson
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This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. Proper collection and analysis of data, use of analytic techniques, verification and validation of models, and an appropriate design of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus, probability theory and elementary statistics. The Second Edition reorganises, updates and expands coverage to reflect the most recent developments.
- Sales Rank: #5739202 in Books
- Published on: 1995-09-21
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 6.25" w x 1.25" l, 1.10 pounds
- Binding: Hardcover
- 548 pages
From the Publisher
This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. Proper collection and analysis of data, use of analytic techniques, verification and validation of models, and an appropriate design of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus, probability theory and elementary statistics. TheSecond Edition reorganizes, updates and expands coverage to reflect the most recent developments.
From the Back Cover
Key Benefit: This book provides a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. Key Topics: It covers topics such as proper collection and analysis of data, use of analytic techniques, verification and validation of models, and appropriate design of simulation experiments in a manner that is readily accessible to readers with only a basic understanding of calculus, probability and statistics. The Second Edition reorganizes, updates and expands coverage to reflect the most recent developments.
Most helpful customer reviews
7 of 7 people found the following review helpful.
Gives a well-written and complete introduction
By Todd Ebert
This book provides a very good introduction to discrete-event simulation. The authors start out by providing several simple examples in areas such as queueing and inventory systems, as well as reliability. After the first few chapters the reader gets a sense of what simulation represents and why it is done. In later chapters they score high marks in introducing more advanced issues, such as probability models, random number and random variate generators, queueing theory, and input modeling.
In closing, the book makes for a very good junior or senior-level introduction to simulation, and I especially am thankful that the presentation was made independent of any simulation package. Instead it focuses on those things that any good simulation package/language should have (e.g. random-number generators, built-in objects for customers and servers, statistical support for evaluating hypotheses about collected data, etc.).
3 of 4 people found the following review helpful.
Comprehensive, updated, great book of simulation systems
By Sarawoot Chittratanawat
Banks revised his great book with updated simulation package and information. Several new issues, such as, tools/softwares, random-variable generation, simulation termination, how to use Simulation to analysis and design computer system, many downloadable examples. Sufficient theories, to understand Simulation, are given, for instance, the Statistics and Queueing theories. Two chapters are dedicated for random-number generation. One chapter is dedicated for verification and validation of simulation models. Although it's only one chapter, several references are given for further study. IE or logistic practioner will enjoy since one chapter is for manufacturing and material handling system (wow!). Very good reference and practice.
7 of 10 people found the following review helpful.
A complete vision
By Andrés Soto
This book brings a very complete explanation about what Discrete Event System Simulation is. From the very beginning, they introduce what Simulation is by means of simple examples that you can manage by hand. They also give a comprehensive explanation about how to determine the apropiate distribution functions to use in the simulation. And how to statistically analyze the simulation results. The book also include a comprehensive brochure of different simulation languages.
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