Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: a?? Definition a?? The reader will learn how to plan a project and communicate using a charter. a?? Input analysis a?? The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. a?? Simulation a?? The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. a?? Output analysis a?? The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of...