Simulation Modeling and Analysis with ARENA
- 7h 43m
- Benjamin Melamed, Tayfur Altiok
- Elsevier Science and Technology Books, Inc.
- 2007
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
In this Book
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Introduction to Simulation Modeling
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Discrete Event Simulation
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Elements of Probability and Statistics
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Random Number and Variate Generation
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Arena Basics
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Model Testing and Debugging Facilities
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Input Analysis
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Model Goodness—Verification and Validation
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Output Analysis
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Correlation Analysis
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Modeling Production Lines
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Modeling Supply Chain Systems
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Modeling Transportation Systems
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Modeling Computer Information Systems
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References
