Atharva Mujumale

Thema - „Simulationsbasierte Produktionsoptimierung mittels KI” Built a data-control architecture linking Snowflake, SQL pipelines, and machine logs with the Plant Simulation digital twin for synchronized real-time data. Implemented KPIs and evaluated static, rule-based, and metaheuristic scheduling algorithms. Implementing a reinforcement learning-based scheduling algorithm in Python using Plant Simulation’s API/socket communication.

• Analyzed data connection from Production Line (PLC) to KepServerEX and OPC UA, enabling live data visualization through OPC Quick. • Developed a Deep Q-Network (DQN) agent using PyTorch to optimize decisionmaking in a Statistical Process control(SPC) environment. • Integrated HMI connections in Siemens TIA Portal to enable real-time data transfer to databases. • Developed automated live error code reports dashboards in Power BI, integrated with Power Automate to enable real-time data refresh and alerting

• Integrated a small scale KUKA KR 6 R700 robotic arm within an Industrial Internet of Things (IIoT) environment for smart factory operations. • Established client-server communication via OPC UA between the robot and an external laptop, enhancing remote control capabilities. • Optimized robot motion control and path planning through simulation and realtime adjustments. •Modeled and 3D printed a customized workpiece for a pick-and-place operation, improving task efficiency by 20%.