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Discrete-Event System Simulation

Discrete-Event System Simulation

Author(s):
  • Jerry Banks
  • John S. Carson, II
  • Barry L. Nelson
  • David M. Nicol
  • Author: Jerry Banks
    • ISBN:9789332518759
    • 10 Digit ISBN:9332518750
    • Price:Rs. 935.00
    • Pages:530
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


    Ratings:

    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.

    Table of Content

    I Introduction to Discrete-Event System Simulation
    Chapter 1 Introduction to Simulation
    Chapter 2 Simulation Examples
    Chapter 3 General Principles
    Chapter 4 Simulation Software
    II Mathematical and Statistical Models
    Chapter 5 Statistical Models in Simulation
    Chapter 6 Queueing Models
    III Random Numbers
    Chapter 7 Random-Number Generation
    Chapter 8 Random-Variate Generation
    IV Analysis of Simulation Data
    Chapter 9 Input Modeling
    Chapter 10 Verification and Validation of Simulation Models
    Chapter 11 Output Analysis for a Single Model
    Chapter 12 Comparison and Evaluation of Alternative System Designs
    V Applications
    Chapter 13 Simulation of Manufacturing and Material-Handling Systems
    Chapter 14 Simulation of Computer Networks

     

    Salient Features

    • Simulation of Communications Systems includes new material on simulation beta distribution, negative binomial distribution and non-stationary processes.
    • Subset selection methods used for output analysis of several alternatives are discussed.
    • Numerous solved examples enhance understanding of concepts.
    • Abundant figures, tables and end-chapter exercises are provided.
    • Application topics promote understanding of real-world uses.
    • Interpretation of simulation software output explains how to use software tools correctly.
    • Discussion of simple tools for complex input modeling problems develops more realistic valid models.