Workshop on Quality Engineering

Program Overview:

Learn essential quality engineering concepts and tools to enhance your effectiveness as a quality engineer. In this course, participants will learn about quality systems, auditing, product and process control and design, quality methods and tools, applied statistics, SPC, and Design of Experiments (DOE). Participants will enhance their engineering expertise and their effectiveness as quality engineers with this comprehensive introduction to key quality engineering concepts and tools critical to success in the field of quality engineering today. While this course addresses many areas of the body of knowledge for the ‘Certified Quality Engineer’ examination, it is not designed as an exam refresher or a preparatory course for the exam.

For Whom:

Engineers, quality control personnel, inspectors, testing personnel, or those interested in the quality engineering profession.

Learning Objectives:

At the end of the programme, participants will be able to:

• define basic leadership and quality management principles;
• discuss the relationship between the quality engineer and the quality system;
• describe product and process design;
• explain product and process control;
• apply problem solving tools and basic statistical concepts, process control and process capability plans, acceptance sampling, and attribute control;
• use various quantitative tools such as process capability and statistical process control, acceptance sampling plans and technical quality tools; and
• justify the incorporation of quality technology in design, customer and supplier relationships, Reliability, Availability, and Maintainability (RAM), materials control, measurement, auditing, quality costs and document control within a quality system.

Course Outline:

Day 1: Overview of management and leadership principles

• Quality philosophies and foundations
• The Quality Management System (QMS)
• Strategic planning
• Deployment techniques

Day 2: Facilitation principles and techniques

• Quality Information System (QIS)
• Customer relations
• Supplier management

Day 3: The Quality System, Product and Process Design

• Elements of the quality system
• Documentation of the quality system
• Quality standards and other guidelines
• Quality audits
• Cost of Quality (COQ)
• Quality training
• Classification of quality characteristics
• Design inputs and review
• Reliability and maintainability
• Tools
• Material control
• Acceptance sampling
• Measurement System Analysis (MSA) and metrology

Day 4: Continuous improvement  

• Quality control tools
• Quality management and planning tools
• Continuous improvement techniques
• Corrective action
•  

Day 5: Preventive action

• Collecting and summarizing data:
  • Descriptive statistics
  • Graphical methods for depicting relationships
  • Graphical methods for depicting distributions
  • Continuous distributions
  • Discrete distribution
• Statistical decision making:
• (i) Point estimates and confidence intervals
• (ii) Hypothesis testing and paired comparison tests
• Relationships between variables:
  • Linear regression and simple linear correlation

Statistical Process Control (SPC):

• Objectives and benefits
• Common and special causes
• Selection of variable and rational subgrouping
• Control charts

• Process and performance capability: Process capability studies and indices
• Design and analysis of experiments:

(i) Terminology and ‘ANOVA’

(ii) Planning and organizing experiments

Training Methodology: Lectures, discussions, exercises, case studies, audio-visual aids will be used to reinforce these teaching/learning methods.