Quality Assurance and Statistical Process Control

This course explores quality assurance principles and Statistical Process Control (SPC) techniques for maintaining high production standards. Participants will

This course explores quality assurance principles and Statistical Process Control (SPC) techniques for maintaining high production standards. Participants will learn about control charts, process capability analysis, Six Sigma applications, and real-time monitoring techniques to ensure quality compliance in manufacturing environments.

Course Objectives

1. Explain quality assurance principles in manufacturing.
2. Utilize Statistical Process Control (SPC) techniques.
3. Apply Six Sigma methodologies for process improvement.
4. Implement real-time monitoring for quality compliance.
5. Develop strategies for continuous quality enhancement.

Learning Outcomes

1. Utilize Statistical Process Control (SPC) to monitor quality.
2. Apply Six Sigma principles for quality improvement.
3. Use real-time data to ensure manufacturing quality compliance.
4. Reduce defects and variations using quality control techniques.
5. Implement continuous quality improvement strategies.

Target Audience

1. Quality control engineers
2. Six Sigma practitioners
3. Manufacturing process analysts
4. Operations managers
5. Compliance and regulatory specialists.

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