1) Random numbers are used as inputs to simulation models and are generated using pseudo-random number generators like the linear congruential method. 2) Conceptual modeling involves describing the problem, inputs, outputs, components and their interactions of the system being modeled in a non-software specific way. 3) Data collection and simplification are important parts of conceptual modeling to develop the simulation model in a faster and more accurate manner.