Simulation Modeling and Analysis with ARENA

by Tayfur Altiok and Benjamin Melamed

Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment." It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings.· Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems· Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems· Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling* Ample end-of-chapter problems and full Solutions Manual* Includes CD with sample ARENA modeling programs

Paperback

First published June 18, 2007

Reviews

[Andrea Ratti · Rating 4 out of 5]

Useful book to anyone who wants to learn something about modeling complex systems with discrete-event simulation paradigm, at a basic level. The whole text can be considered like a full undergraduate simulation course or an introductory graduate simulation course; for graduated students, this book is also a very good reminder. On this way, some of the most critical topics concerning simulation are afforted, e.g. statistical output analysis and correlation analysis.

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