simpy-discrete-event
CommunitySimulate queues and manufacturing with SimPy.
Education & Research#simulation#manufacturing#simpy#confidence intervals#discrete-event#operations research#queueing theory
Authorxjtulyc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Discrete-event simulation with SimPy helps you model stochastic service systems and resource contention so you can measure performance (e.g., waiting time, throughput) without relying on brittle closed-form approximations.
Core Features & Use Cases
- Queue and process modeling (M/M/c and beyond): Represent arrivals, services, and multiple servers using SimPy resources to estimate utilization and waiting metrics.
- Manufacturing line simulation: Model multi-stage flows (e.g., cutting → machining → assembly) with competing machines and queue buildup.
- Output analysis with replications: Run independent replications, discard warm-up bias, and compute confidence intervals for key outputs.
Quick Start
Build a SimPy model for an M/M/c waiting system and generate waiting-time statistics and a 95% confidence interval using multiple replications.
Dependency Matrix
Required Modules
simpyscipymatplotlibnumpypandas
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: simpy-discrete-event Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#simpy-discrete-event Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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