Simulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The text starts by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the importance of mathematical modeling of these activities.
An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. The academic version of Arena and example files are available through the book's website.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
W. DAVID KELTON is Professor in the Department of Quantitative Analysis and Operations Management at the University of Cincinnati, where he has also served as MS program director and acting department head.
RANDALL P. SADOWSKI is currently enjoying retirement and plans to continue this new career. In his previous life, he was Product Manager for scheduling and data-tracking applications for Rockwell Automation. Prior to that, he was director of university relations, chief applications officer, vice president of consulting services and user education at Systems Modeling Corporation.
NANCY B. SWETS (nee Zupick) is the Requirements Analyst for the Arena simulation product at Rockwell Automation. She works with product management, development and Arena customers to research and write out the software requirements for future releases of the software. In addition to this role, she helps manage the IIE/RA Student Simulation Contest and participates in marketing and sales activities.
1. What is Simulation?
2. Fundamental Simulation Concepts
3. A Guided Tour Through Arena
4. Modeling Basic Operations and Inputs
5. Modeling Detailed Operations
6. Statistical Design and Analysis of Terminating Simulations
7. Intermediate Modeling and Steady-State Statistical Analysis
8. Entity Transfer
9. A Sampler of Further Modeling Issues and Techniques
10. Arena Integration and Customization
11. Continuous and Combined Discrete/Continuous Models
12. Further Statistical Issues
13. Conducting Simulation Studies
Appendix A: A Functional Specification for The Washington Post
Appendix B: IIE/RS Contest Problems
Appendix C: A Refresher or Probability and Statistics
Appendix D: Arena’s Probability Distributions
Appendix E: Academic Software Installation
Instructions
References
Index
CD with current academic version of Arena and all examples used in the book
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