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 | | Discrete-Event System Simulation (3rd Edition) by Jerry Banks, John S. Carson, Barry L. Nelson, David M. Nicol ISBN-10: 9780130887023 ISBN-10: 0-13-088702-1 ISBN-13: 9780130887023 ISBN-13: 978-0-13-088702-3 Hardcover 2000-08-15 Prentice Hall Find Lowest Price |
Editorials | ||
Book Description This book provides a basic treatment of discrete-event simulation, one of the most widely used operations research and management science tools for dealing with system design in the presence of uncertainty. Proper collection and analysis of data, use of analytic techniques, verification and validation of models and the 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. Includes simulation in C++, the latest versions of the most widely used packages, and features of simulation output analysis software. Covers properties, modeling and random-variate generation from the lognormal distribution. Clarifies the difficult distinctions between terminating and steady-state simulation, and between within- and across-replication statistics. Contains up-to-date treatment of simulation of manufacturing and material handling systems. Emphasizes the hierarchical nature of computing systems, and how simulation techniques vary, depending on the level of abstraction. For readers wanting to learn more about system simulation. | ||
Reviews | ||
Great! very prompt and no hassel. Great price and experience. Quality of book was better than expected. | ||
its a text book you're going to buy it because you have to. its for a class. its a good textbook. | ||
Poor 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. | ||
Gives 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.). | ||
statictical 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. | ||