What's included
Overview
Discrete Event System Simulationis 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.
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.
Table of contents
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I Introduction to Discrete-Event System Simulation
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Chapter 1 Introduction to Simulation
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Chapter 2 Simulation Examples
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Chapter 3 General Principles
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Chapter 4 Simulation Software
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II Mathematical and Statistical Models
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Chapter 5 Statistical Models in Simulation
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Chapter 6 Queueing Models
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III Random Numbers
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Chapter 7 Random-Number Generation
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Chapter 8 Random-Variate Generation
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IV Analysis of Simulation Data
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Chapter 9 Input Modeling
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Chapter 10 Verification and Validation of Simulation Models
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Chapter 11 Output Analysis for a Single Model
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Chapter 12 Comparison and Evaluation of Alternative System Designs
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V Applications
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Chapter 13 Simulation of Manufacturing and Material-Handling Systems
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Chapter 14 Simulation of Computer Systems
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Chapter 15 Simulation of Computer Networks
For teachers
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Discover teaching materialPublished by Pearson (June 26th 2009) - Copyright © 2010