Discrete-Event System Simulation: Pearson New International Edition

Banks, Jerry

ISBN 10: 1292024372 / ISBN 13: 9781292024370

Published by Pearson, 2013

About this Item

Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Seller Inventory # Z1-J-021-02179

Bibliographic Details

Title: Discrete-Event System Simulation: Pearson ...

Publisher: Pearson

Publication Date: 2013

Binding: Soft cover

Condition: Good

Edition: 5th or later Edition

About this title

Synopsis:

For junior- and senior-level simulation courses in engineering, business, or computer 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.