Simulation Modeling and Analysis with ARENA

Simulation Modeling and Analysis with the Monte Carlo discrete-event. Simulation methodology. It is a simulation method. facilitates the understanding of performance systems and experimentation with what-if scenarios in order to determine their performance metrics. processes, input analysis, model validation and output analysis. Allplanning, production systems, and systems.

· Introducing the concept of discrete event. Monte Carlo. Simulation, the most-used methodology for modeling and analysis of complex systems
· Covers essential workings of the animated simulation language, ARENA, including set-up, design parameters, input and output,
· Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling
* Ample end-of-chapter problems and full Solutions Manual
* Includes CD with sample ARENA modeling programs

Chapter 1 Introduction to Simulation Modeling; Chapter 2 Discrete Event Simulation; Chapter 4 Chapter 4 Random Number and Variation Generation; Chapter 5 Arena Basics; Chapter 6 Model Testing and Debugging Facilities; Chapter 8 Model Goodness: Verification and Validation; Chapter 9 Output Analysis; Chapter 10 Modeling Supply Chain Systems; Chapter 12 Modeling Transportation Information; Appendix A Frequently Used Aero Constructs; Appendix B VBA in Arena; References; index