Statistical Quality Control (SQC)

Course Description:

This course aims to provide a comprehensive understanding of Statistical Quality Control (SQC) concepts, tools, and techniques. It covers how to use data and statistics to improve quality and reduce variation in production and service processes.

Objectives:

• Understand the fundamentals of Statistical Quality Control and its importance.
• Learn about various SQC tools and techniques.
• Develop data analysis and interpretation skills.
• Learn strategies for improving quality and reducing defects.
• Apply fundamental concepts to achieve continuous process improvement.

Target Audience:

• Quality managers.
• Process improvement teams.
• Production personnel.
• Data analysts.
• Quality management consultants.

Prerequisites:

• Basic knowledge of quality management principles.
• Prior experience working in related fields (optional).

Course Content:

• Introduction to Statistical Quality Control (SQC):
  • Definition of SQC and its importance in quality improvement.
  • Key benefits of implementing SQC in organizations.
• SQC Tools:
  • Control charts and their types.
  • Graphs and scatter plots.
• Data Analysis:
  • How to collect and analyze data.
  • Descriptive and inferential statistics techniques.
• Quality Improvement:
  • Strategies for reducing variation and defects.
  • Applying SQC tools to improve performance.
• Continuous Improvement:
  • How to use SQC in continuous improvement efforts.
  • Identifying areas for continuous improvement in processes.
• Case Studies:
  • Examples of SQC implementation in various organizations.