Core Responsibilities
- Process Improvement: Utilizing methodologies like Lean and Six Sigma (Kaizen, DMAIC) to eliminate waste, reduce process variability, and improve first-pass yield.
- Root Cause Analysis (RCA): Leading investigations into production defects or customer complaints using structured tools such as 8D Reports, Fishbone Diagrams, and the 5 Whys.
- Statistical Process Control (SPC): Monitoring and analyzing process performance data using metrics like Cp and Cpk (capability indices) to ensure systems stay within specification limits.
- Audit & Compliance: Conducting internal process audits and ensuring adherence to international standards such as ISO 9001 (General).
- Documentation & Control Plans: Developing and maintaining Standard Operating Procedures (SOPs), Work Instructions, and Control Plans that define exactly how a process should be monitored and controlled.
- Risk Management: Performing Failure Mode and Effects Analysis (FMEA) to proactively identify potential process failures and implementing preventive actions before they occur.
- Cross-Functional Collaboration: Acting as a bridge between production, design engineering, and suppliers to resolve quality issues and support New Product Introduction (NPI) through the PPAP (Production Part Approval Process).
Education:
- A bachelor's degree in mechanical, Industrial, or Manufacturing Engineering. Certifications: Professional credentials such as the Certified Quality Engineer (CQE) from ASQ or Six Sigma Green/Black Belt are highly preferred.
Type of Working Experience:
- At least 5 years working experience in Manufacturing Industry Knowledge / Skills and Abilities
- Analytical Skills: Data analysis (SPC), root cause analysis, and proficiency with quality tools.
- Technical Knowledge: Understanding manufacturing processes, equipment, and materials.
- Detail-Oriented: Focused on precision to prevent defects and improve quality.
- Tools: Minitab, SAP (QM Module), and CAD software for blueprint interpretation.
- Analytical Skills: High proficiency in data interpretation, trend analysis, and Statistical Analysis.
- Communication: Ability to present complex technical findings to non-technical stakeholders and lead training sessions for shop floor staff.
