Ajith Anandh

• Managed Production with maximum efficiency and minimized downtime by overseeing production machinery and processes.
• Applied lean principles and Six Sigma methodologies to identify inefficiencies, reduce waste, and optimize throughput.
• Standard Work Procedure Development by refining standard operating procedures for operators, reducing variability, and increasing output consistency.
• Utilized statistical tools like DOE, Cp, and Cpk to assess process capability and ensure processes remained within specification limits, reducing rework and scrap.
• Conducted cross-functional meetings to conduct root cause analysis of recurring issues, improving process stability, and reducing variability.

Research Collaboration | NUS - Schlumberger Foundation

• Torque Measurement Enhancement for Electrical Submersible Pumps (ESPs)
• Directed the project, incorporating insights from renowned research platforms like the International Journal of Machine Tools and Manufacture.
• Utilized MATLAB and SolidWorks for efficient simulations, optimizing materials, and dimensions for the prototype.
• Applied findings to reduce simulation time, allowing for offline simulations and efficient device iteration.

• Assisted in the execution of a Lean Manufacturing project in the Operations cell.
• Developed an Access platform, integrating Python through VBA, reducing manual transcription, and saving 50% in man-hours.
• Streamlined data entry tasks for operators, enabling quick scanning and storage of measurements during high-volume repairs (50-100 blades per machine).
• Led the integration of auto-loaded Electrical Discharge Machining (EDM) technology into turbine blade repairs.