Manufacturing Engineering

Failure Analysis / Root cause Analysis Perform the failure analysis with different problem-solving approaches. - RCA,8D, A3, QC story, DMAIC Identifies root cause using problem solving tools such as Brainstorming, Fishbone & Why-Why Scatter plot, 5W 2H, Pareto chart Perform Design of Experiments (DoE) to validate root causes and optimize machine and process parameters for sustained corrective actions. Analyse failures related to automation machine architecture, including mechanical, electrical, Software, Vision and Robot Data Analysis & Reporting Prepare clear and structured Failure Analysis (FA) reports, ensuring proper documentation of problem statements, root causes, corrective actions, validations, and closure status. Perform basic statistical and trend analysis to identify recurring issues, monitor effectiveness of actions, and support data-driven decisions. Perform process capability studies (Cp/Cpk) to assess machine and process stability, validate corrective actions, and ensure compliance with customer specification requirements. Reviews & Meeting Participate in reviews & meeting with internal team and customer Present the FA findings, action plans, and validation results. SOPs, Lessons Learned & Documentation Capture lessons learned from qualification failures and ensured deployment across the Similar machines and Future projects. Provide feedback to Design, Software, vision, Robot and Assembly teams for continuous improvement. Update or create SOPs, test procedures, and best practices to prevent recurrence. Ensure traceability of all qualification-related issues, actions, and approvals. Machine Qualification Participate in machine design and build reviews to identify potential failure modes affecting performance, safety, and product quality. Analyse failures related to machine functions & process sequences during LBU Identify root causes for the deviations from the expected performance. Validate machine performance consistency in stress run Knowledge Knowledge on Problem Solving approaches (RCA,8D, A3, QC story, DMAIC & FMEA) Knowledge on Problem Solving techniques (Brainstorming, Fishbone, 5 why Analysis, Box plot, Scatter plot, 5W 2H, Pareto chart) Knowledge of Design of Experiments (DoE) for root cause validation and process/machine parameter optimization Knowledge of process capability analysis using Cp and Cpk to assess machine and process performance against specifications. FA report structure and presentation requirements Basic statistical and trend analysis knowledge Lessons learned and knowledge-sharing mechanisms Hands on experience in FATP & MLB Automation machines Process knowledge on FATP and MLB assembly line