Obtaining analytical solutions to complex problems is often preferable; however, it requires substantial mathematical effort, and in some cases, analytical solutions may not be available. Simulation methods, by contrast, are relatively simple yet highly effective, especially for solving complex problems, as they usually require fewer assumptions to obtain solutions. With the widespread availability of computers and significant advances in their processing power, simulation has become a popular approach in engineering analysis, for example, in modeling dynamic systems, performing uncertainty analyses, and analyzing failure data. This chapter introduces the fundamentals of simulation, highlights its limitations, and discusses various methods for applying simulation to reliability data analysis.