Fundamentals of Discrete Event Simulation in Complex Systems

This exam focuses on the theoretical principles of discrete event simulation, emphasizing system modeling and analysis over time. Key aspects include event scheduling, state transitions, and statistical output analysis.

Understanding these principles is vital as they enable professionals to enhance system performance and decision-making in various contexts, including manufacturing and logistics. Effective simulation modeling allows for the assessment of system behavior under different scenarios, which is crucial for optimizing resource allocation.

Students will be evaluated on their ability to articulate the core concepts of discrete event simulation, explain system dynamics, and analyze different simulation models. Successful candidates must demonstrate a clear understanding of how to apply these theories in verbal discussions.

It is expected that candidates will also address recent advancements and methodologies in simulation techniques, enabling them to build a comprehensive perspective on the evolving nature of the field.