Deputy Manager - Quality Assurance (Knitting Back Process)

Responsibilities:

- Lead and manage a team of quality personnel responsible for inline quality control and offline grey fabric inspection.

- Plan and allocate manpower across knitting machines, inspection machines, and production shifts to ensure effective quality control.

- Monitor critical knitting parameters, including GSM, diameter, stitch length, yarn feeding, and Lycra tension.

- Ensure timely identification, containment, and correction of knitting defects at source in coordination with Production and Maintenance.

- Supervise offline grey fabric inspection in accordance with the approved 4-Point Inspection System.

- Ensure accurate defect identification, fabric grading, roll-wise traceability, and proper segregation of first-quality, second-quality, and rejected fabric.

- Monitor quality KPIs, inspection accuracy, productivity, first-quality yield, and rejection trends.

- Lead root cause analysis and corrective/preventive actions to minimize recurring defects, grey fabric rejection, and second-quality production.

- Analyze machine-wise, article-wise, shift-wise, and defect-wise quality performance to identify improvement opportunities.

- Ensure effective team performance, shift-wise quality coverage, training, and manpower utilization.

- Coordinate with Knitting Production, Maintenance, Laboratory, and Dyeing/Processing QA to address quality issues and prevent downstream complaints.

- Prepare quality reports, present performance trends, and follow up on corrective actions and continuous improvement initiatives.

Requirements and skills:

- Bachelor’s degree in Textile Engineering or a relevant discipline.

- Relevant experience in Quality Assurance/Quality Control, preferably in circular knitting operations.

- Hands-on experience in inline quality control and offline grey fabric inspection.

- Strong knowledge of knitting parameters, fabric defects, and the 4-Point Inspection System.

- Proven experience in managing large teams, manpower deployment, and shift-wise quality operations.

- Knowledge of root cause analysis, corrective/preventive actions, and quality improvement techniques.

- Strong analytical, problem-solving, reporting, and leadership skills.