Modern Simulation and Modeling

by Reuven Y. Rubinstein, Reuven Y. Rubinstein

A step-by-step guide for today's modeling and simulation practices

This new guide for modeling and simulation of discrete-event systems (DES) demonstrates why simulation is fast becoming the method of choice for the evaluation of system performance in science, engineering, and management. The book begins with the basics of conventional simulation, then proceeds to modern simulation-treating sensitivity analysis and optimization in a wide range of systems that exhibit complex interaction of discrete events. These include communications networks, flexible manufacturing systems, PERT (project evaluation and review techniques) networks, queueing systems, and more.

Less focused on theory than on presenting a clear approach to practical applications, Modern Simulation and
* Emphasizes concepts rather than mathematical completeness
* Integrates references and explanations of complex topics into the body of the text
* Provides an innovative chapter on rare-event probability estimation
* Describes the implementation of the score function (SF) method using the NSO simulation package
* Features 40 illustrations and numerous algorithms
* Offers extensive, end-of-chapter exercise sets
* Includes chapter bibliographies for further reading

Modern Simulation and Modeling is an essential text for graduate students of DES and stochastic processes and for undergraduate students in simulation. It is also an excellent reference for professionals in statistics and probability, mathematics, and management science.

384 pages, Hardcover

First published March 9, 1998

Reviews

[Greg · Rating 3 out of 5]

This book is poorly titled. It really should be "Solving Queuing Problems with Simulation". Every example in the book and most of the discussion is in the context of queuing theory. You can still get some useful techniques from it, but you have to translate it to your given application.