• 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┬ámean 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 is available on the book’s website for analyzing the data sets corresponding to the 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.