Simulation software is broadly divided into several architectural categories, with two of the most prominent classifications being discrete-event simulation (DES) software and continuous simulation software. Discrete-event simulation software models systems where state variables change instantaneously at precise points in time triggered by specific events, making it the industry standard for optimizing manufacturing assembly lines, supply chain logistics, hospital patient flow, and call center staffing. Conversely, continuous simulation software uses systems of differential equations to model dynamic environments where variables change continuously across an unbroken timeline, frequently utilized in aerospace engineering, flight simulators, weather forecasting, and chemical reaction modeling. While discrete-event packages focus on queues, resource utilization, and event scheduling, continuous software focuses on rates of change, fluid dynamics, and thermodynamic properties, allowing engineers to tackle vastly different physical and operational domains.