https://forums.autodesk.com/t5/flexsim-forum/how-to-build-an-ai-based-optimizer-using-flexsim-simulation/m-p/13725304#M97122 <P>Hello FlexSim Community,</P><P>We are working on a FlexSim 2025-based simulation model for a pilot production workshop, and I’m currently exploring the possibility of creating an <STRONG>AI-based optimizer</STRONG> for the production process using the <STRONG>results of the FlexSim simulation</STRONG> and <STRONG>external machine learning resources</STRONG>, such as <STRONG>Stable-Baselines3</STRONG> and <STRONG>reinforcement learning in Python</STRONG>.</P><P>I’m aware that FlexSim itself does not provide a built-in AI optimizer, and I’ve reviewed the documentation about the <STRONG>Reinforcement Learning (RL) Tool</STRONG> introduced in FlexSim 2022. However, I would greatly appreciate any <STRONG>practical advice beyond what's covered in the manual</STRONG>.</P><P><STRONG>My main questions:</STRONG></P><UL><LI><P>Has anyone developed a custom RL/AI-based optimizer using FlexSim simulation data?</P></LI><LI><P>Are there any working examples or best practices for integrating FlexSim with Python-based RL libraries (e.g., PPO from Stable-Baselines3)?</P></LI><LI><P>Any tips on designing observation/action/reward structures within the FlexSim RL Tool?</P></LI><LI><P>Any known challenges or lessons learned from building such hybrid simulation-ML systems?</P></LI></UL><P>This is our <STRONG>first AI-integrated simulation</STRONG>, and I’d love to hear your experience, feedback, or suggestions on how to move forward effectively.</P><P>Thanks in advance for your support!</P><P>Best regards,<BR /><STRONG>Oleksii Kovalenko</STRONG></P> Tue, 15 Jul 2025 08:13:45 GMT Aleksey_KovalenkoLMTB6 2025-07-15T08:13:45Z https://forums.autodesk.com/t5/flexsim-forum/how-to-build-an-ai-based-optimizer-using-flexsim-simulation/m-p/13725304#M97122 <P>Hello FlexSim Community,</P><P>We are working on a FlexSim 2025-based simulation model for a pilot production workshop, and I’m currently exploring the possibility of creating an <STRONG>AI-based optimizer</STRONG> for the production process using the <STRONG>results of the FlexSim simulation</STRONG> and <STRONG>external machine learning resources</STRONG>, such as <STRONG>Stable-Baselines3</STRONG> and <STRONG>reinforcement learning in Python</STRONG>.</P><P>I’m aware that FlexSim itself does not provide a built-in AI optimizer, and I’ve reviewed the documentation about the <STRONG>Reinforcement Learning (RL) Tool</STRONG> introduced in FlexSim 2022. However, I would greatly appreciate any <STRONG>practical advice beyond what's covered in the manual</STRONG>.</P><P><STRONG>My main questions:</STRONG></P><UL><LI><P>Has anyone developed a custom RL/AI-based optimizer using FlexSim simulation data?</P></LI><LI><P>Are there any working examples or best practices for integrating FlexSim with Python-based RL libraries (e.g., PPO from Stable-Baselines3)?</P></LI><LI><P>Any tips on designing observation/action/reward structures within the FlexSim RL Tool?</P></LI><LI><P>Any known challenges or lessons learned from building such hybrid simulation-ML systems?</P></LI></UL><P>This is our <STRONG>first AI-integrated simulation</STRONG>, and I’d love to hear your experience, feedback, or suggestions on how to move forward effectively.</P><P>Thanks in advance for your support!</P><P>Best regards,<BR /><STRONG>Oleksii Kovalenko</STRONG></P> Tue, 15 Jul 2025 08:13:45 GMT https://forums.autodesk.com/t5/flexsim-forum/how-to-build-an-ai-based-optimizer-using-flexsim-simulation/m-p/13725304#M97122 Aleksey_KovalenkoLMTB6 2025-07-15T08:13:45Z