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