Discrete-Event System Simulation. This item is unavailable.
Language: English
Published by Prentice Hall PTR, 2000
- Hardcover
- Used
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- Title
- Discrete-Event System Simulation
- Author
- Banks, Jerry, Nicol, David M., Carson, John S., 2nd, Nelson, Barry L.
- Publisher
- Prentice Hall PTR
- Publication year
- 2000
- Condition
- Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0130887021
- ISBN 13
- 9780130887023
- Edition
- 3rd Edition.
- Item weight
- 1.9 pounds
- Dimensions
- N/A
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.