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.
Event Date: –
Course Methodology
This course relies on ASQ lectures and exercises. In addition, various group discussions and
presentations will be used and study groups will be formed to engage participants.
Course Objectives
By the end of the course, 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
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.
Target Audience
Engineers, quality control personnel, inspectors, testing personnel, or those interested in the quality engineering profession.
Target Competencies
Quality management
Developing quality systems
Leadership
Product and process design
Continuous improvement
Understanding process control
Using quantitative methods and tools
Computing process and performance capability
Course Outline The quality system Product and process design Product and process control Continuous improvement Quantitative methods and tools
Overview of management and leadership principles
Quality philosophies and foundations
The Quality Management System (QMS)
Strategic planning
Deployment techniques
Quality Information System (QIS)
Facilitation principles and techniques
Customer relations
Supplier management
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
Quality control tools
Quality management and planning tools
Continuous improvement techniques
Corrective action
Preventive action
Collecting and summarizing data
Descriptive statistics
Graphical methods for depicting relationships
Graphical methods for depicting distributions
Continuous distributions
Discrete distributions
Statistical decision making
Point estimates and confidence intervals
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
Terminology and ‘ANOVA’
Planning and organizing experiments