Simulation Modeling and Analysis with Arena

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Simulation Modeling and Analysis with ARENA, offers a convenient, highly understandable introduction to the mathematical principles of simulation modeling, chiefly the Monte Carlo method, for modelling and analysis of complex systems, and does so in the context of a very popular Simulation program called ARENA. In an engineering definition of the word, Simulation encompasses a body of mathematical tools and methodical processes for modeling complex, real-world systems and scenarios. It can used for everything from imitating the way a complex machine works to representing the flow of parts and products through a manufacturing plant to how traffic patterns behave. Simulation is a way to analyze, design, and predict such complex systems without having to go to the trouble of actually setting up such a scenario in the real-world. It uses the power of the modern computer coupled with a variety of software tools to carry out such tasks.With these tools, an engineer, technician, or even a savvy manager, can play out what-if questions by altering the inputs and assumptions of a given model and then seeing the changing results almost instantaneously. All manufacturing companies involved in the design of highly complex systems will benefit from mathematical tools and methodical processes for modeling complex, real-world systems and scenarios that are offered in this text. These tools and processes can help to instill the knowledge to analyze, design, and predict such complex systems without having to go to the trouble of actually setting up such a scenario in the real-world. It uses the power of the modern computer coupled with a variety of software tools to carry out such tasks. Introduces the concept of discrete event simulation, the fundamental principle underlying all simulation modeling Reviews elements of statistics, probability and stochastic processes relevant to simulation modeling Walks the reader through the basic workings of ARENA, including set-up, design parameters, input data, and explanation of output Advanced chapters cover autocorrelated analysis of input and output data, Model Validation, and the use of ARENAS’s Input/Output Analyzer features. An entire section devoted to samples of real-world applications, drawn from such areas as the simulation of production lines, the simulation of toll booth operations and the simulation of computer information systems Exercises at the end of each Chapter Solutions Manual available

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About the author (2007)

Rutgers University, New Brunswick, NJ

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