About the job
The role of the Works Quality Engineer is pivotal in guaranteeing the quality and dependability of products throughout the manufacturing cycle. This position is tasked with the implementation, oversight, and maintenance of quality control systems and procedures at various stages of production to avert defects, minimize waste, and ensure that products adhere to design specifications and meet customer expectations. The In-Process Quality Engineer serves as a quality advocate on the production floor, collaborating with manufacturing, engineering, and other departments to swiftly identify and resolve quality issues.
Key Responsibilities:
- Quality System Implementation & Maintenance:
- Develop, implement, and sustain in-process quality control plans, procedures, and work instructions (e.g., control plans, FMEAs, inspection criteria).
- Guarantee that all in-process quality documentation is precise, current, and easily accessible to production personnel.
- Conduct regular audits of production lines and processes to ensure compliance with established quality standards and procedures.
- Identify and pursue opportunities for continuous improvement in in-process quality control.
- Inspection & Testing:
- Establish and validate in-process inspection points and methods, including visual, dimensional, and functional testing.
- Train and qualify production operators on in-process inspection techniques and criteria.
- Conduct periodic in-process inspections and audits to confirm product quality and adherence to processes.
- Defect Prevention & Root Cause Analysis:
- Monitor key process parameters and product characteristics for deviations from specifications.
- Document and investigate in-process quality non-conformances, defects, and deviations.
- Carry out root cause analysis (RCA) utilizing tools like 5 Whys, Fishbone diagrams, Pareto charts, etc., to uncover the underlying causes of quality issues.
- Collaborate with engineering, manufacturing, and other teams to devise and implement effective corrective and preventive actions (CAPAs).
- Validate the effectiveness of implemented CAPAs and ensure their sustainability.
- Data Analysis & Reporting:
- Collect, analyze, and interpret in-process quality data (e.g., defect rates, yield, SPC charts).
- Generate regular reports on in-process quality performance, trends, and key metrics.
- Present quality data and findings to management and cross-functional teams.
- Utilize statistical process control (SPC) techniques to monitor process stability and identify potential issues.
- Collaboration & Training:
- Collaborate closely with QMM, production supervisors, and operators to tackle quality issues and implement improvements.
- Provide training and support to production staff on quality-related processes and standards.