This text is appropriate for upper level undergraduate and lower level graduate courses in departments of Engineering, Management, and Computer Science.
We provide a basic treatment of discrete-event simulation, one of the most widely used operations research and management science tools for dealing with system design in the presence of uncertainty. Proper collection and analysis of data, use of analytic techniques, verification of models and the appropriate design of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus, probability theory and elementary statistics. The Fourth Edition includes coverage to reflect the most recent developments in software and methodology, and has chapters on the simulation of manufacturing and material handling systems, simulation of computer systems, and simulation of communication systems.