Simulation Modeling and Analysis with ARENA [NOOK Book]

Overview

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 ...
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Simulation Modeling and Analysis with ARENA

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Overview

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

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.

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Product Details

  • ISBN-13: 9780080548951
  • Publisher: Elsevier Science
  • Publication date: 7/26/2010
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 456
  • File size: 12 MB
  • Note: This product may take a few minutes to download.

Table of Contents

Chapter 1 Introduction to Simulation Modeling; Chapter 2 Discrete Event Simulation;Chapter 3 Elements of Probability and Statistics;Chapter 4 Random Number and Variate Generation;Chapter 5 Arena Basics;Chapter 6 Model Testing and Debugging Facilities;Chapter 7 Input Analysis; Chapter 8 Model Goodness: Verification and Validation;Chapter 9 Output Analysis;Chapter 10 Correlation Analysis;Chapter 11 Modeling Production Lines;Chapter 12 Modeling Supply Chain Systems; Chapter 13 Modeling Transportation Systems;Chapter 14 Modeling Computer Information Systems;Appendix A Frequently Used Arena Constructs;Appendix B VBA in Arena;References; Index
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