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Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discreteevent simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an invitro laboratory that facilitates the understanding of complex systems and experimentation with whatif scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discreteevent systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulationrelated 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 setup, 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
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