Jerry Banks retired in 1999 as a professor in the School of Industrial and Systems Engineering, Georgia Institute of Technology, after which he worked as senior simulation technology advisor for Brooks Automation; he is currently a professor at Techno´ogico de Monterrey, M´exico. He is the author, coauthor, editor, or coeditor of twelve books, one set of proceedings, several chapters in texts, and numerous technical papers.
John S. Carson II is an independent simulation consultant. Formerly, he held management and consulting positions in the simulation services and software industry, including positions atAutoSimulations and the AutoMod Group at Brooks Automation. He was the co-founder and president of the simulation services firm Carson/Banks &Associates. He has over 30 years experience in simulation in a wide range of application areas, including manufacturing, distribution, warehousing and material handling, order fulfillment systems, postal systems, transportation and rapid transit systems, port operations (container terminals and bulk handling), and health-care systems. He has taught simulation and operations research at the Georgia Institute of Technology and the University of Florida.
Barry L. Nelson is the Charles Deering McCormick Professor and Chair of the Department of Industrial Engineering and Management Sciences at Northwestern University. His research centers on the design and analysis of computer simulation experiments on models of stochastic systems, concentrating on multivariate input modeling and output analysis, optimization via simulation and metamodeling.
David M. Nicol is professor of electrical and computer engineering at the University of Illinois at Urbana-Champaign. He is a long-time contributor in the field of parallel and distributed discrete-event simulations, having written one of the early Ph.D. dissertations on the topic. He has also worked in parallel algorithms, algorithms for mapping workload in parallel architectures, performance analysis, and reliability modeling and analysis.
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
• 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.