Optimization and Simulation

This lecture covers the fundamentals of discrete event simulation, using the example of Rico applying to work at Satellite. It explains how to model events, manage time, and collect statistics in a system. Through instances, the lecture demonstrates the simulation process and the calculation of aggregate indicators. The general framework of simulation, including state variables, external inputs, and controls, is discussed. The importance of statistical analysis, distribution investigation, and multiple realizations is highlighted. The lecture concludes by emphasizing the strengths and challenges of discrete event simulation, stressing the need for careful book-keeping and statistical interpretation.