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simpy-discrete-event-models

Research & Science
Signed by SkilVault

Builds reproducible SimPy discrete-event simulations in Python using generator processes, virtual time, resource queues, containers, stores, event synchronization, interruptions, and logged outcome data. Use when the user asks to "simulate a queue", "model capacity or throughput", "compare what-if scenarios", "add machine failures and repairs to a model", or "estimate wait times with a simulation". Not for continuous dynamics without an event interpretation, and not for controlling real equipment or live services.

Version
v1.0.1
Size
13 KB
Updated
2026-10-06
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