Description This book provides a basic treatment of discrete-eventsimulation, including the proper collection and analysis of data,the use of analytic techniques, verification and validation ofmodels, and designing simulation experiments. It offers anup-to-date treatment of simulation of manufacturing and materialhandling systems, computer systems, and computer networks. 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. 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 Jerry Banks retired in 1999 as a professor from the School of Industrialand Systems Engineering, Georgia Institute of Technology. He iscurrently an independent consultant. John S. Carson II is the consulting technical manager for the AutoMod Group atBrooks Automation. Barry L. Nelson is Professor in the Department of Industrial Engineering andManagement Sciences at Northwestern University. David M. Nicol is Professor of Electri

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