Discrete Event System Simulation

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This book provides a basic treatment of discrete-event simulation, 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. Features Simulation of communications systems—Includes new material on simulation beta distribution, negative binomial distribution and non-stationary processes. Discussion of subset selection methods—New to this edition, these methods are used for output analysis of several alternatives. Numerous solved examples—Enhances understanding of concepts. Application topics—Promotes understanding of real-world uses. Discussion of simple tools for complex input modeling problems—Develops more realistic and valid models. Table Of Contents Preface Introduction to Discrete-Event System Simulation Introduction to Simulation Simulation Examples General Principles Simulation Software Mathematical and Statistical Models Statistical Models in Simulation Queueing Models Random Numbers Random-Number Generation Random-Variate Generation Analysis of Simulation Data Input Modeling Verification and Validation of Simulation Models Output Analysis for a Single Model Comparison and Evaluation of Alternative System Designs Applications Simulation of Manufacturing and Material-Handling Systems Simulation of Computer Systems Simulation of Computer Networks Appendix Index