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Discrete-Event System Simulation (5th Edition)

Banks, Jerry; Carson II, John S.; Nelson, Barry L.; Nicol, David M.

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ISBN 10: 0136062121 / ISBN 13: 9780136062127
Published by U.S.A.: Prentice Hall, 2009
New Condition: New Soft cover
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Bibliographic Details

Title: Discrete-Event System Simulation (5th ...

Publisher: U.S.A.: Prentice Hall

Publication Date: 2009

Binding: Soft cover

Book Condition: New

Dust Jacket Condition: New

Edition: 5th or later Edition

About this title

Synopsis:

Discrete Event System Simulation is ideal for junior- and senior-level simulation courses in engineering, business, or computer science. It is also a  useful reference for professionals in operations research, management science, industrial engineering, and information science.

While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate to all such tools. This language-independent text explains the basic aspects of the technology, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. It offers an up-to-date treatment of simulation of manufacturing and material handling systems, computer systems, and computer networks.

Students and instructors will find a variety of resources at the associated website, www.bcnn.net/, including simulation source code for download, additional exercises and solutions, web links and errata.

From the Back Cover:

KEY BENEFIT: While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate toallsuch tools. This language-independent resource explains the basic aspects of the technology, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments.KEY TOPICS: Introduction; Simulation Examples; General Principles; Simulation Software; Statistical Models in Simulation; Queueing Models; Random-number Generation; Random-variate Generation; Input Modeling; V&v; Output Analysis for a Single Model; Comparing Multiple Designs; Simulation of Mfg. & MH Systems; Simulation of Computer Systems; Simulation of Communication Systems.MARKET: A useful reference for professionals in operations research, management science, industrial engineering, and information science.

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