Advanced Systems Modeling and Simulation explains a wide range of concepts, tools, and techniques for advanced systems modeling and simulation.
A simulation is a computer model of a system and almost any phenomenon can be analyzed and described as such in order to gain practical insights into how it works. Increases in computing power as well as ongoing developments in the creation and storage of data have brought simulations into a wider range of application areas, adding significant value and also creating a need for information and advice on how to use these tools in new contexts.
Starting with fundamental information on modeling and simulation, this book goes on to provide detailed and practical advice on the most relevant modeling and simulation methods, before exploring case studies from applications in other areas, including transportation, supply chain, manufacturing, and healthcare.
Table of Contents
1. Fundamentals of Systems Simulation 2. Discrete Event Simulation 3. System Dynamics Simulation 4. Monte Carlo Simulation 5. Agent Based Simulation 6. Uncertainty Modeling 7. Simulation-Based Optimization 8. Large Scale Systems Simulation 9. Simulation Applications and Case Studies
