course | Statistical Quality Control
Learn Statistical Quality Control (SQC), including control charts, process variation, acceptance sampling, and quality management techniques used in manufacturi
QMO-374 | Statistical Quality Control
Course Sector : Quality Management & Operational Excellence
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 4 Days | 04/01/2027 | 07/01/2027 | Dubai | $4,250 | Book now |
| 4 Days | 01/02/2027 | 04/02/2027 | Abu Dhabi | $4,250 | Book now |
| 4 Days | 03/05/2027 | 06/05/2027 | Paris | $4,950 | Book now |
| 4 Days | 30/08/2027 | 02/09/2027 | Dubai | $4,250 | Book now |
Course Introduction
Statistical Quality Control (SQC) is a fundamental field in statistics and industrial engineering that focuses on using statistical methods to monitor, control, and improve product and process quality. It is widely used in manufacturing, healthcare, engineering, and service industries to ensure consistency, reduce defects, and improve efficiency.
This course introduces learners to the core concepts of quality control and statistical process monitoring, including how to analyze data and detect variations in production systems. You will learn how to distinguish between common cause variation (natural process variation) and special cause variation (unexpected errors or defects that require correction).
A major focus of Statistical Quality Control is Statistical Process Control (SPC), which uses tools such as control charts (X-bar chart, R chart, P chart, and C chart) to monitor production processes in real time. These tools help organizations detect problems early before they become costly failures.
Another key area is acceptance sampling, where a sample of products is inspected to determine whether an entire batch should be accepted or rejected. This reduces inspection costs while maintaining product quality standards.
The course also covers essential statistical concepts such as mean, variance, standard deviation, and process capability, which are critical for analyzing performance and improving production systems.
By learning SQC, students and professionals gain the ability to:
- Improve product quality
- Reduce waste and defects
- Optimize manufacturing processes
- Support data-driven decision-making
Statistical Quality Control is a core part of modern quality management systems, Six Sigma, and Lean manufacturing, making it highly valuable for engineers, analysts, and operations managers.
Course objective
- Understand the principles and importance of statistical quality control in achieving process excellence.
- Apply statistical techniques for data collection, analysis, and interpretation in quality control.
- Use statistical process control (SPC) methods to monitor and control process variability.
- Apply control charts and other statistical tools to identify and address quality issues.
- Implement statistical quality control methods to improve process performance and customer satisfaction.
- Identify and apply advanced quality control tools.
Course audience
- Quality & Manufacturing Professionals – Quality managers, production engineers, and process improvement specialists.
- Engineers & Technicians – Industrial, mechanical, and manufacturing engineers, as well as lab technicians.
- Data & Process Analysts – Statisticians, data analysts, and process improvement professionals.
- Regulatory & Compliance Officers – Ensuring adherence to industry standards.
- Students & Academics – Those studying quality management, industrial engineering, or statistics.
Course Outline | 01 DAY ONE
Introduction to Statistical Quality Control
- Overview of statistical quality control and its significance
- Key principles and concepts of quality control
- Introduction to data collection and sampling techniques
- Statistical distributions and probability concepts for quality control
Course Outline | 02 DAY TWO
Statistical Process Control (SPC) and Control Charts
- Understanding process variability and its impact on quality
- Introduction to statistical process control (SPC) and control charting
- Construction and interpretation of control charts (e.g., X-bar and R charts)
- Applying control charts for process monitoring and improvement
Course Outline | 03 DAY THREE
Statistical Tools for Quality Control
- Hypothesis testing for quality control decisions
- Capability analysis and process performance metrics
- Design of experiments (DOE) for process optimization
- Applying statistical tools for root cause analysis and problem-solving
Course Outline | 04 DAY FOUR
Advanced Tools for Quality Control
- Advanced control charts such as the p-chart, np-chart, and c-chart.
- Scenarios where these specialized control charts are more suitable than traditional X-bar and R charts.
- Examples of real-world applications for advanced control charts in different industries.
- The six sigma methodology and its focus on process improvement and defect reduction.
- The DMAIC (define, measure, analyze, improve, control) framework for problem-solving and continuous improvement.
- The roles of the different six-sigma belts and how they contribute to quality control initiatives.
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
Since 2001, we’ve been at the forefront of professional training in the Middle East — shaping the future of learning and development one success story at a time. With a vision rooted in innovation and excellence, we help individuals, teams, and organizations reach their highest potential through integrated, future-ready training solutions. Our comprehensive programs combine global best practices with local insights, empowering people to grow, lead, and make a lasting impact in their industries.
🔗 Quick Links
Sister Companies to Boost Consulting and Training
most trending
And Recommended Training Courses
We believe in progress for everyone.
We helped more than 10,000 clients over 20 countries on 4 continents in boosting their knowledge, skills, and careers.
Boost Training And Consulting All Copyrights Reserved 2026