Simulation Modeling and Arena / Edition 1

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"Ideal for engineers, and relevant to comptuer scientists, advanced buisness students and other disciplines where simulation is practiced, this introduction to discrete-event simulation modeling and analysis provides detailed discussions of the statistical aspects of simulation along with the traditional examination of simulation language." Merging the two most common approaches to the subject, and adding a special emphasis on the art of model building, Simulation Modeling and Arena helps you build a solid foundation in the theoretical aspects of simulations while developing practical expertise in the art of model building.
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Product Details

  • ISBN-13: 9780470097267
  • Publisher: Wiley
  • Publication date: 1/27/2009
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 600
  • Sales rank: 899,786
  • Product dimensions: 7.90 (w) x 9.90 (h) x 0.80 (d)

Meet the Author

Manuel D. Rossetti is an Associate Professor in the Industrial Engineering Department at the University of Arkansas. Dr. Rossetti has published over 70 journal and conference articles, was selected as a Lilly Teaching Fellow, and has been nominated three times for outstanding teaching awards. He has served as a proceedings co-editor in 2004 and 2009 for the Winter Simulation Conference and is an editor for the International Journal of Modeling and Simulation.

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Table of Contents


Chapter 1. Simulation Modeling.

1. Simulation Modeling.

1.1 Why Simulate?

1.2 Types of Computer Simulation.

1.3 How the Discrete-Event Clock Works.

1.4 Randomness in Simulation.

1.5 Simulation Languages.

1.6 Getting Started with Arena.

1.7 Getting Help within Arena.

1.8 Simulation Methodology.

1.9 Organization of the Book.

1.10 Exercises.

Chapter 2. Basic Process Modeling.

2. Elements of Process-Oriented Simulation.

2.1 Entities, Attributes, and Variables.

2.2 Creating and Disposing of Entities.

2.3 Defining Variables and Attributes.

2.4 Processing Entities.

2.5 Attributes, Variables, and some I/O.

2.6 Flow of Control in Arena.

2.7 Batching and Separating Entities.

2.8 SIMAN and Arena's Run Controller.

2.9 Summary.

2.10 Exercises.

Chapter 3. Modeling Randomness in Simulation.

3. Modeling Randomness in Simulation.

3.1 Random Variables and Probability Distributions.

3.2 Input Distribution Modeling.

3.3 Generating Random Numbers.

3.4 Summary.

3.5 Exercises.

3.6 Appendix: Using MINITAB and BestFit during InputModeling.

3.7 Appendix: Basic Spreadsheet Simulation Concepts.

Chapter 4. Analyzing Simulation Output.

4. Analyzing Simulation Output.

4.1 Types of Statistical Variables.

4.2 Types of Simulation With Respect To Output Analysis.

4.3 Analysis of Finite Horizon Simulations.

4.4 Analysis of Infinite Horizon Simulations.

4.5 Comparing System Configurations.

4.6 Summary.

4.7 Exercises.

Chapter 5. Modeling Queueing and Inventory Systems.

5. Introduction.

5.1 Single Line Queueing Stations.

5.2 Networks of Queueing Stations.

5.3 Inventory Systems.

5.4 Summary.

5.5 Exercises.

Chapter 6. Entity Movement and Material HandlingConstructs.

6. Introduction.

6.1 Constrained Transfer with Resources.

6.2 Constrained Transfer with Transporters.

6.3 Modeling Systems with Conveyors.

6.4 Modeling Guided Path Transporters.

6.5 Summary.

6.6 Exercises.

Chapter 7. Miscellaneous Topics in Arena Modeling.

7. Introduction.

7.1 Advanced Resource Modeling.

7.2 Tabulating Frequencies using the STATISTIC Module.

7.3 Entity and Resource Costing.

7.4 Miscellaneous Modeling Concepts.

7.5 Programming Concepts within Arena.

7.6 Summary.

7.7 Exercises.

Chapter 8. Application of Simulation Modeling.

8. Introduction.

8.1 Problem Description.

8.2 Detailed Solution.

8.3 Sensitivity Analysis.

8.4 Completing the Project.

8.5 Some Final Thoughts.

8.6 Exercises.



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