Quality Control

Course/Workshop Title: Quality Control
Course/Workshop Description: This course familiarizes the participants with quality control techniques, quality assurance issues and quality management methods.
Course/Workshop Duration: 25 hours (5 hrs/day)
Course/Workshop Objectives:
  • Provide an introduction to the fundamental concepts of statistical process control, total quality management, six sigma and the application of these concepts, philosophies, and strategies to issues arising in government and industry.
  • Enhance the participant’s understanding of the complexities of statistical analysis and control-chart interpretation and their work-place application
  • Provide skills in diagnosing and analyzing problems causing variation in manufacturing and service industry processes.
  • Provide a basic understanding of "widely-used" quality analysis tools and techniques.
  • Create an awareness of the quality management problem-solving techniques currently in use.
Course/Workshop Importance: The course is very important for quality management, control and assurance of processes that can be measured in any work-place environment.
Lecture Strategy: Lecture materials will be presented using Microsoft PowerPoint. When possible a cooperative, participant-centered learning and discussion approach will be utilized to enable a high level of participant involvement.
Course Content: Introduction of Quality, Total Quality Management, Quality Improvement Techniques, Statistical Concepts, Control Charts for Variables and Attributes, Process Capability, Quality Costs, and Introduction to Six Sigma.
Course Notes: Course lecture notes will be provided by the instructors to the participants.
Course Content Distribution:

Day One:

  • Introduction
  • Quality basics and history
  • Quality advocates
  • Quality improvement
  • Total Quality Management
  • Deming
  • Juran
  • Crosby

Day Two:

  • Quality Improvement Techniques
  • Pareto Diagrams
  • Scatter Diagrams
  • Run Charts
  • Cause and Effect Diagrams

Day Three:

  • Statistical Concepts
  • Measures of Central Tendency
  • Measure of Dispersion
  • Concepts of Population and Samples
  • Normal Curves

Day Four:

  • Control Charts for Variables
  • Variation: Common vs. Special Causes
  • Control Chart Techniques
  • X-bar and R chart Correlation
  • X-bar and S charts
  • Process Capability

Day Five:

  • Control Charts for Attributes
  • Control Charts for Non-conforming Units
  • Control Charts for Counts of Non-conforming Units
  • Quality Costs
  • Six Sigma
Fees SAR 4,000
Instructor Prof. Ali J. Chamka