Training Program: Statistical Quality Control (SQC)

Objective:

To equip participants with the knowledge and skills to apply statistical methods for monitoring and improving product and process quality.

Target Audience:

  • Quality Assurance Professionals

  • Process Engineers

  • Production Supervisors

  • Six Sigma Practitioners

  • Data Analysts in Manufacturing

Duration:

3 Days  credited Hours 12 hours 

Module 1: Introduction to Statistical Quality Control

  • Definition and Importance of Quality

  • Basics of Quality Control vs. Quality Assurance

  • Introduction to Statistical Thinking

  • History and Evolution of SQC

  • Role of SQC in Total Quality Management (TQM) and Six Sigma

Module 2: Types of Variations in Processes

  • Common Causes vs. Special Causes

  • Impact of Variation on Quality

  • Case Study: Understanding Variation in Real-life Processes

Module 3: Descriptive Statistics for Quality Control

  • Mean, Median, Mode

  • Range and Standard Deviation

  • Histograms and Frequency Distributions

  • Interpretation and Application in Quality Monitoring

Module 4: Control Charts

  • Purpose and Benefits of Control Charts

  • Types of Control Charts:

    • X̄ and R Charts

    • p-Chart

    • np-Chart

    • c-Chart

    • u-Chart

  • Setting Control Limits

  • Rules for Detecting Out-of-Control Conditions

  • Hands-on Activity: Create and Interpret Control Charts

Module 5: Process Capability Analysis

  • Assessing if a Process is Capable

  • Sigma Level and Process Performance

  • Exercise: Capability Analysis Using Sample Data

Module 6: Acceptance Sampling

  • Concepts of Lot Acceptance

  • Types of Sampling Plans: Single, Double, Multiple

  • OC Curve (Operating Characteristic Curve)

  • When to Use Sampling vs. 100% Inspection

Module 7: Measurement System Analysis (MSA) – Optional/Advanced

  • Gage R&R Studies

  • Repeatability vs. Reproducibility

  • Impact of Poor Measurement on Quality Decisions

Module 8: Applying SQC in the Workplace

  • Integrating SQC with Daily Quality Practices

  • Case Studies and Industry Examples

  • Group Activity: Solve a Real-World Quality Problem Using SQC Tools

Learning Outcomes:

By the end of the training, participants will:

  • Understand and explain the principles of SQC.

  • Create and interpret control charts.

  • Analyze process capability and suggest improvements.

  • Distinguish between different types of variation.

  • Use data to make quality-driven decisions.

Training Methods:

  • Interactive Lectures

  • Hands-on Exercises using Excel or statistical software (e.g., Minitab)

  • Group Case Studies

  • Quizzes and Knowledge Checks

  • Final Group Presentation or Assessment

Training Materials:

  • Participant Workbook

  • Excel Templates for Charts and Analysis

  • Cheat Sheets (e.g., Control Chart Rules, Sampling Plans)

  • Certificate of Completion