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
I've been using this as reference for a CS class on simulation, and it has been a __life_saver__. Some authors just assault you with equations, then wave their hands in the air as an explanation. But here, everything is in plain English. And while the material's not easy, it can be grasped after some close reading. Very trite, but it's made the subject fun. PLUS: Solutions for the exercises are available online with some clever Googling. Check it.
I read this book for self-study to get an idea as to how discrete event simulation worked. This book was pretty good for that. The application chapters at the end of the text weren't terribly useful as it seems like they exist to motivate a lab section or assignments in a university course. Some of the statistics-oriented sections did full calculation demos in the text. While a good idea in principle, these also dragged on quite a bit. Still it was a good, complete text for getting a handle on these concepts.
This is a fairly good book on the subject of experimental modeling and simulation. It does help go have a background in stats and there is some calculus in the book, not to mention a strong understanding of programming.