Simulation Modeling and Analysis provides a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self-study. The book is widely regarded as the “bible” of simulation and now has more than 172,000 copies in print and has been cited more than 18,500 times. This textbook can serve as the primary text for a variety of courses. It is used in leading industrial and systems engineering departments at Georgia Tech, University of Michigan, University of California at Berkeley, Stanford University, Purdue University, Texas A&M University, Columbia University, University of Washington, and Naval Postgraduate School.
NEW IN THE FIFTH EDITION:
• New chapter on agent-based simulation and system dynamics, two widely used alternative types of simulation
• Greatly enhanced and self-contained discussion of classical design of experiments, with a particular emphasis on designs and metamodels that are the most appropriate for simulation
• Latest statistical techniques for determining a warm-up period and for estimating the steady-state mean of a simulated system
• State-of-the-art procedures for comparing the performance of alternative system configurations
• Up-to-date treatment of the latest simulation software, including a common example in five of the leading products
• Student version of the ExpertFit distribution-fitting software for analyzing the data sets corresponding to examples and problems
• Comprehensive review of the basic probability and statistics needed for the remainder of the book
• More than 215 examples, 360 figures (8 in color), and 285 homework problems to facilitate the learning process
2015