simpy-discrete-event-simulation

What problem does it solve?

This Skill provides a powerful framework for modeling and simulating complex systems where events occur over time, such as manufacturing lines, service operations, or network traffic.

Core Features & Use Cases

• Process-based Simulation: Model systems using Python generators that yield events.
• Resource Management: Simulate queues, capacity-limited resources, and priority-based access.
• Event Scheduling: Handle discrete events, timeouts, and inter-process communication.
• Use Case: Simulate a call center to determine the optimal number of agents needed to meet a target average wait time, considering varying call arrival rates and service durations.

Quick Start

Run a basic discrete-event simulation using SimPy to model customer arrivals at a server.