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World Famous Comics: Discrete-Event System Simulation (4th Edition) (Prentice-Hall International Series in Industrial and Systems)
Discrete-Event System Simulation (4th Edition) (Prentice-Hall International Series in Industrial and Systems)
By: Jerry Banks, John Carson, Barry L. Nelson, David Nicol
Publisher: Prentice Hall
Average Rating:4.00 out of 5.00 stars
Binding: Paperback
Label: Prentice Hall
Number of Items: 1
Number of Pages: 624
Publication Date: December 19, 2004

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Discrete-Event System Simulation (4th Edition) (Prentice-Hall International Series in Industrial and Systems)
List Price: $116.00
Used Price: $70.00
3rd Party New: $74.99
Amazon's Price: $104.12

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Editorial Comments

Product Description:

This book provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. Contains up-to-date treatment of simulation of manufacturing and material handling systems. Includes numerous solved examples. Offers an integrated website. Explains how to interpret simulation software output. For those interested in learning more about discrete-event simulation.


Customer Reviews
Average Rating:4.00 out of 5.00 stars

5 out of 5 starsGreat!
very prompt and no hassel. Great price and experience. Quality of book was better than expected.



4 out of 5 starsits a text book
you're going to buy it because you have to. its for a class. its a good textbook.



1 out of 5 starsPoor Quality Printing
My copy of this book is barely readable. Numerous parts of the text are missing. The printing is just missing here and there on the pages. Beware this edition. It is unfortunate since the content appears excellent.



5 out of 5 starsGives a well-written and complete introduction
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.).



4 out of 5 starsstatictical simulation
This book contains very well topics as input and output analysis, verification and validation, random number generation etc. I strongly recommend this book as an introduction of theoric simulation.


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