Statistical Quality Control
-
COURSE DATES AND LOCATIONS
DATE
Duration
LOCATION
FEES
Book Now
-
INTRODUCTION
This course is designed to provide participants with a solid foundation in statistical techniques and methods used for quality control in various industries. It focuses on providing participants with the knowledge and skills necessary to effectively analyze and interpret data to monitor and improve process quality.
Participants will learn basic concepts of statistical quality control, explore different statistical tools and methods, and gain practical insights into their application to improve quality.
-
COURSE OBJECTIVES
By the end of the course, you‘ll be able to:
- Understand the principles and importance of statistical quality control .
- Identify and apply advanced quality control tools.
- Apply statistical techniques in quality control.
- Apply control charts and other statistical tools to identify and address quality problems.
- Use statistical process control (SPC) methods.
- Implement statistical quality control methods.
-
COURSE AUDIENCE
This course is suitable for:
- Quality professionals,
- Six sigma green and black belt professionals,
- Project management professionals.
-
COURSE OUTLINE
Day One
Introduction to Statistical Quality Control
- Overview of statistical quality control.
- statistical quality control significance
- Key principles of quality control.
- concepts of quality control.
- Introduction to data collection.
- Sampling techniques.
- Statistical distributions and probability concepts for quality control.
Day Two
Statistical Process Control (SPC) and Control Charts
- Understanding process variability.
- Introduction to statistical process control (SPC) and control charting.
- Construction and interpretation of control charts .
- Applying control charts.
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.
Day Four
Advanced Tools for Quality Control
- Advanced control charts .
- 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 different six sigma belts and how they contribute to quality control initiatives.
