simpy-discrete-event-simulation
SimPy — Discrete-Event Simulation
Overview
SimPy is a process-based discrete-event simulation framework using standard Python generators. Model systems where entities (customers, vehicles, packets) interact with shared resources (servers, machines, bandwidth) over time, with event-driven scheduling and optional real-time synchronization.
When to Use
- Modeling queue-based systems with resource contention (servers, machines, staff)
- Manufacturing process simulation (production lines, scheduling, bottleneck analysis)
- Network simulation (packet routing, bandwidth allocation, latency analysis)
- Capacity planning (determining optimal resource levels for target throughput)
- Healthcare operations (ER patient flow, staff allocation, bed management)
- Logistics and transportation (warehouse operations, vehicle routing)
- For continuous-time ODE systems → use SciPy
solve_ivp - For agent-based modeling → use Mesa
Prerequisites
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