Simulation Modeling and Arena / Edition 1

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Overview

Engineers will benefit from this book because it blends the theoretical aspects of simulations with a simulation package so they can put the concepts to practice. It utilizes the Arena Simulation Environment as the primary modeling tool for simulation. More detailed discussions of the statistical aspects of simulation are presented than are found in many other simulation language oriented textbooks. Special emphasis is placed on the computer programming aspects of simulation. The accompanying CD-ROM also contains the student version of Arena along with illustrations, solutions to several exercises, and additional files. With the help of numerous hands-on exercises and engaging material, engineers will learn how to apply the concepts to real-world situations.
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Product Details

  • ISBN-13: 9780470097267
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 1/27/2009
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 600
  • 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

Preface.

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 Input Modeling.

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 Handling Constructs.

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.

References.

Index.

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