The engine driving a DES relies on a or Event Calendar. Time does not advance uniformly; it jumps from the timestamp of the current event directly to the timestamp of the next scheduled event.
: A dynamic, sorted queue containing scheduled events, organized chronologically by their execution time stamp.
. To simulate real-world phenomena, these uniform numbers must be converted into other statistical distributions (e.g., Exponential for arrival times, Normal for human traits). modeling and simulation lecture notes ppt top
: Military combat simulations, large-scale aerospace coordination games. Digital Twins
True randomness is impossible in deterministic computers. Simulations leverage pseudo-random numbers that mimic statistical independence and uniformity. Linear Congruential Generators (LCG) The engine driving a DES relies on a or Event Calendar
: Fit historical data to standard mathematical functions (e.g., Exponential for arrival times, Normal for manufacturing tolerances).
There are several types of models, including: Digital Twins True randomness is impossible in deterministic
: Represent a system at a single, specific point in time (e.g., Monte Carlo simulations, structural load frameworks).
Modeling creates a representation of a system, while simulation is the technique of using that model to study system behavior over time. Types of Simulation Models:
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