This course is designed to provide participants with the knowledge and skills needed to apply statistical techniques to
analyze and control processes, ensuring quality standards are met efficiently.

This course is designed to provide participants with the knowledge and skills needed to apply statistical techniques to analyze and control processes, ensuring quality standards are met efficiently.

At the end of this course, participants will be able to:

• • Understand the fundamental principles of Statistical Quality Control (SQC) and its role in quality management.
  • Understand the statistical concepts underpinning Statistical Process Control (SPC) and their application in quality control.
  • Analyze the effects of variation on processes and use this understanding to make data-driven decisions.
  • Use control charts to monitor and improve process performance by identifying variations and taking corrective actions.
  • Conduct process capability analysis to determine process stability and ensure it meets customer specifications.
  • Implement quality control techniques to minimize process variations and enhance operational efficiency.
  • Demonstrate the ability to design, use, and interpret control charts for both variables and attributes.
  • Perform analysis of process capability and measurement system capability to ensure accuracy and reliability.
  • Interpret the output of Statistical Process Control (SPC) methods effectively to identify opportunities for process improvement.

This course is essential for professionals and individuals involved in quality management, process improvement, and
data-driven decision-making as:

o Quality Managers and Quality Engineers
o Production Managers and Process Engineers
o Product Development Engineers
o laboratory Technical Staff such as chemists, analysts, and chemical engineers
o Business Analysts
o Healthcare & Pharmaceutical Professionals

A highly interactive combination of lectures and discussion sessions as well as case studies will be managed to maximize
the amount and quality of information, knowledge, and experience transfer.
The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The
attendants will also be encouraged to raise more of their questions and to share developing the right answers using their
analysis and experience.
Course material through PowerPoint equipped with necessary animation, learning videos, and general discussions will be
provided.

Percentage Of Delivery Methodologies:

o 35% Presentation
o 30% Group & individual exercises
o 25% Case studies and role-plays
o 10% Active movies and videos

Introduction to Statistical Quality Control
o Overview of Quality Control and its Importance
o Definition of statistics
o History and Evolution of Statistical Quality Control
o Fundamental Concepts of Quality Assurance and Control
o Understanding Variation: Common Cause vs. Special Cause
o SQC and SPC

Descriptive Statistics
o Types of data (Variables and Attributes)
o Accuracy and precision
o Data description
o Analytical Techniques
o Basic Statistics for Quality Control (Mean, Median, Mode, range, Variance, Standard Deviation)
o Graphical Techniques
o Histogram
o Box Plot
o Normal Distribution Curve
o Pareto diagram
o Scatter Diagram
o Practical Exercise: Calculating and Interpreting Basic Statistical Measures

Variable Control Charts
o Variation: Common Cause vs. Special Cause
o Introduction to Control Charts and Their Role in SQC
o X-bar Chart
o R Charts
o S Charts
o Individuals Control Charts
o Hands-on Exercise: Constructing and Analyzing Control Charts

Attributes Control Charts
o Attributes Vs Variable Charts
o P-Chart
o np- chart
o C chart
o U chart

Process Capability Analysis
o Control Limits and Specifications
o Concept of Process Capability and Its Importance
o Capability Indices: Cp, Cpk, Pp, Ppk
o Comparing Process Performance with Specification Limits
o Cause and Effect Diagram
o Computing and Interpreting Process Capability Indices work shop

Statistical Software for SQC (Minitab)
o Random data
o Descriptive statistics
o probability distributions
o Histogram
o Box plot
o Scatter diagram
o Pareto chart
o Cause and effect diagram
o Control charts

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration