Statistical Quality Control (SQC)

1. Introduction to Quality and SQC

Objectives

• Understand the importance of quality in organizations.
• Learn the role of statistics in quality improvement.

Topics

• Definition of quality and quality management
• History and evolution of SQC
• Benefits of Statistical Quality Control
• Overview of quality improvement methodologies
• Relationship between SQC and modern quality systems

2. Basic Statistical Concepts for Quality Control

Objectives

• Learn fundamental statistical tools used in SQC.

Topics

• Types of data (continuous vs. discrete)
• Measures of central tendency (mean, median, mode)
• Measures of variation (range, variance, standard deviation)
• Normal distribution
• Probability basics
• Sampling concepts

Practical Exercises

• Calculating mean and standard deviation
• Data visualization using histograms

3. Process Variation and Process Capability

Objectives

• Understand sources of variation and how to measure them.

Topics

• Common vs. special cause variation
• Process stability
• Process capability analysis
• Capability indices (Cp, Cpk)
• Interpretation of capability results

Exercises

• Capability calculations using sample data
• Interpreting capability charts

4. Control Charts for Variables

Objectives

• Learn how to monitor process performance using control charts.

Topics

• Purpose of control charts
• Components of control charts
• Types of variable control charts:
  • X̄–R Chart
  • X̄–S Chart
  • Individual–Moving Range Chart
• Rules for identifying out-of-control conditions

Practical Exercises

• Constructing control charts
• Identifying signals of process instability

5. Control Charts for Attributes

Objectives

• Understand charts used for defect-based data.

Topics

• Difference between variables and attributes
• Attribute control charts:
  • p-chart
  • np-chart
  • c-chart
  • u-chart
• Selecting the appropriate chart

Exercises

• Building attribute charts from sample inspection data

6. Acceptance Sampling

Objectives

• Understand inspection strategies and sampling plans.

Topics

• Inspection methods (100% vs sampling)
• Risks in sampling (producer’s risk, consumer’s risk)
• Single sampling plans
• Double and multiple sampling plans
• Acceptance sampling standards

7. Process Improvement Using SQC

Objectives

• Apply SQC tools to improve production processes.

Topics

• Root cause analysis
• Basic quality tools:
  • Check sheets
  • Pareto charts
  • Cause-and-effect diagrams
  • Scatter diagrams
  • Histograms
• Continuous improvement concepts

 

8. Practical Case Studies and Applications

Objectives

• Apply SQC tools to real-world problems.

Activities

• Case studies from manufacturing or service industries
• Group exercises on control chart interpretation
• Data analysis projects
• Discussion of implementation challenges

9. Software Applications for SQC

Topics

• Using statistical software for quality analysis
• Introduction to tools such as:
  • Minitab
  • Microsoft Excel

Exercises

• Creating control charts using software
• Process capability analysis with software tools

10. Program Wrap-Up and Assessment

Activities

• Final exercise or mini project
• Knowledge assessment quiz
• Discussion of implementation plans in participants’ organizations
• Training feedback and certification