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 Analysis of Output from 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 - A Refresher on Probability and Statistics
Appendix C - Arena's Probability Distributions
Appendix D - Academic Software Installation Instructions
References
Index
Simulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The textbook begins 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 also available through the book's website.McGraw-Hill's Connect is also available as an optional add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need when they need it how they need it so that class time is more effective. Connect allows the professor to assign homework quizzes and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.
