Simulation Modeling and Arena
January 2009, ©2010
Simulation Modeling and Arena is intended for a first course in discrete-event simulation modeling and analysis for upper-level undergraduate students as well as entering graduate students. While the text is focused towards engineering students (primarily industrial engineering) it could also be utilized by advanced business majors, computer science majors, and other disciplines where simulation is practiced. Practitioners interested in learning simulation and Arena could also use this book independently of a course.
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.
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.
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.
3.6 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.
Chapter 5. Modeling Queueing and Inventory Systems.
5.1 Single Line Queueing Stations.
5.2 Networks of Queueing Stations.
5.3 Inventory Systems.
Chapter 6. Entity Movement and Material Handling Constructs.
6.1 Constrained Transfer with Resources.
6.2 Constrained Transfer with Transporters.
6.3 Modeling Systems with Conveyors.
6.4 Modeling Guided Path Transporters.
Chapter 7. Miscellaneous Topics in Arena Modeling.
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.
Chapter 8. Application of Simulation Modeling.
8.1 Problem Description.
8.2 Detailed Solution.
8.3 Sensitivity Analysis.
8.4 Completing the Project.
8.5 Some Final Thoughts.
Integrated statistical analysis: comprehensive coverage of major statistical concepts allows one book to serve in the place of two
Hands on learning: enhances student retention of material and preparation for exams/projects
Treats subject from computer programming point of view: allows students to build on prior programming skills
Integrates conceptual modeling with model building: teaches students to develop and communicate their models without Arena
Coverage of queuing and inventory models: provides background for building more complex models
Comprehensive examples and problems sets for enhanced student learning
Bundled Arena software and textbook files: students will have all the tools and files needed for the book on one resource