Description
A textbook for an introductory simulation course in engineering, computer science, or management or for a second course in simulation with a companion language text. The level is said to be the same as that of the second edition, but not otherwise specified. The only date noted is 1997, which could be the first or second. A fourth author, David M. Nicol (Dartmouth College), has jointed Barry L. Nelson (Northwest U.) and Banks and Johns S. Carson, both with an automation company. They have added a chapter on the modeling of computer systems and a website for the book in addition to updating the material generally. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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This book provides 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 and validation 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. Includes simulation in C++, the latest versions of the most widely used packages, and features of simulation output analysis software. Covers properties, modeling and random-variate generation from the lognormal distribution. Clarifies the difficult distinctions between terminating and steady-state simulation, and between within- and across-replication statistics. Contains up-to-date treatment of simulation of manufacturing and material handling systems. Emphasizes the hierarchical nature of computing systems, and how simulation techniques vary, depending on the level of abstraction. For readers wanting to learn more about system simulation.
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