This well established text for senior graduate/postgraduate courses in Production Engineering and Computer Science in its fourth edition is extensively updated and revised in its contents, besides, addition of a separate chapter on simulation of Computer Networks. It provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. It offers an up-to-date treatment of simulation of manufacturing and material handling systems, computer systems, and computer networks. The new edition incorporates additional models-the beta and negative binomial distributions and the nonstationary Poisson process. Several alternatives are also discussed in the presentation of output analysis.
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