This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. Proper collection and analysis of data, use of analytic techniques, verification and validation of models, and an 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 Second Edition reorganises, updates and expands coverage to reflect the most recent developments.
Basic treatment of fundamental concepts of discrete event simulation. Appropriate as Jr./Sr. level introductory simulation text in Engineering, Management, Computer Science; a second course in simulation and an introduction to stochastic models. Features many examples, figures and tables.