Vibratory bowl feeders play a crucial role in automated manufacturing by efficiently orienting and transporting parts. This study investigates the performance of a vibratory bowl feeder through both experimental and simulation-based analysis. The system's efficiency was evaluated at different frequencies ranging from 47 Hz to 79.75 Hz, comparing actual and simulated results for parts per minute and time required to process 200 parts. The findings reveal discrepancies between actual and simulated outputs, with the actual parts per minute ranging from 30 to 160, while simulation results varied from 40 to 200. Similarly, the time for processing 200 parts decreased from 15.3 minutes at 47 Hz to 2.2 minutes at 79.75 Hz, whereas the simulated time ranged from 7.8 to 1.0 minutes. Dynamic simulation and FEA-based performance analysis were conducted to optimize the shaft design of a double shaft paddle mixer, enhancing durability and efficiency in industrial mixing applications. The study highlights the potential of advanced simulation tools in optimizing vibratory feeder performance, enabling real-time adjustments for improved efficiency. Future enhancements include the integration of machine learning and control adaptability to refine operational accuracy and adaptability.