7 QC Tools

Target Audience:

• Quality control and assurance professionals
• Process improvement teams
• Engineers and production managers
• Supervisors and team leaders
• Anyone involved in problem-solving and continuous improvement

Course Objectives:

By the end of this training, participants will:

1. Understand the fundamentals of quality control and problem-solving techniques.
2. Learn how to apply the 7 QC tools effectively in real-world scenarios.
3. Develop data-driven decision-making skills for process improvement.
4. Enhance their ability to identify root causes and implement corrective actions.
5. Gain hands-on experience in using the tools through case studies and exercises.

Learning Outcomes:

Upon completing this course, participants will be able to:
✔ Define and explain the purpose of each of the 7 QC tools.
✔ Collect, analyze, and interpret data using these tools.
✔ Apply the tools in process monitoring and problem-solving.
✔ Create visual representations of data to support decision-making.
✔ Identify trends, root causes, and potential improvements in processes.
✔ Implement the tools in a structured approach to quality improvement.

Course Outline:

Module 1: Introduction to Quality Control & 7 QC Tools

• Definition and importance of quality control
• The role of the 7 QC tools in quality improvement
• Overview of Continuous Improvement (Kaizen, PDCA Cycle)

Module 2: The 7 QC Tools Overview & Application

1. Check Sheets

• Purpose and types of check sheets
• Designing an effective check sheet
• Practical exercise

2. Pareto Chart

• Understanding the Pareto principle (80/20 rule)
• Constructing and interpreting Pareto charts
• Case study application

3. Cause-and-Effect Diagram (Fishbone/Ishikawa Diagram)

• Identifying root causes of problems
• Categorizing causes using the 6Ms (Man, Machine, Method, Material, Measurement, Environment)
• Hands-on exercise

4. Histogram

• Understanding variation in data
• Creating and interpreting histograms
• Real-life examples

5. Scatter Diagram

• Analyzing relationships between variables
• Identifying correlation and causation
• Practical analysis using real data

6. Control Charts

• Basics of statistical process control (SPC)
• Types of control charts (X-bar, R-chart, P-chart, C-chart)
• Monitoring process stability

7. Flowchart (Process Mapping)

• Importance of visualizing processes
• Creating process maps for problem identification
• Exercise in process mapping

Module 3: Integrating the 7 QC Tools in Problem-Solving

• Combining tools for effective root cause analysis
• Case study: Applying the tools in a real-world scenario
• Group exercise: Solving a quality issue using the 7 QC tools

Module 4: Implementation & Continuous Improvement

• Best practices for embedding the 7 QC tools in daily operations
• Sustaining a quality-driven culture
• Action planning for workplace implementation

Training Methodology:

✅ Interactive Lectures – Concept explanations with real-world examples
✅ Hands-on Exercises – Application of each tool through guided activities
✅ Case Studies – Real-life industry examples for deeper understanding
✅ Group Discussions & Workshops – Collaborative learning and problem-solving
✅ Software Tools (Optional) – Use of Excel, Minitab, or other software for data analysis