Abstract

Discrete Event Simulation (DES) remains a foundational tool in operations management for manufacturing, providing stakeholders with the ability to simulate production processes, evaluate system performance, and test various scenarios effectively. However, traditional DES tools face notable limitations, such as labor-intensive model building and time-consuming iterative optimization processes. This paper proposes an AI-assisted intelligent DES platform that integrates AI agents to address these challenges. By automating data collection, preprocessing, and simulation model construction, as well as analyzing and optimizing simulation results, the platform transforms conventional simulation workflows. A case study using Simio demonstrates generative AI’s ability to automate object creation in the simulation environment and analyze simulation results to provide actionable insights. The findings highlight both the potential and limitations of AI-enhanced simulation, paving the way for future advancements in an intelligent DES platform for manufacturing systems.