AI RESEARCH
Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support
arXiv CS.LG
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ArXi:2601.06543v2 Announce Type: replace-cross Queueing simulation studies often require substantial manual effort to translate conceptual system descriptions into executable programs and to verify that the implemented mechanisms match the intended queueing logic. Although large language models (LLMs) may produce executable scripts, executability alone is insufficient when arrival, routing, interruption, or reporting logic is wrong. This study presents a simulation-oriented framework for \texttt{SimPy}-based queueing model translation.