McTimothy Associates

Introduction to Quality Engineering Course

Why Attend

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:
ï‚· Define basic leadership and quality management principles
ï‚· Discuss the relationship between the quality engineer and the quality system
ï‚· Describe product and process design
ï‚· Explain product and process control
ï‚· Apply problem solving tools and basic statistical concepts, process control and process capability plans, acceptance sampling, and attribute control
ï‚· Use various quantitative tools such as process capability and statistical process control, acceptance sampling plans and technical quality tools
ï‚· 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
ï‚· Quality management
ï‚· Developing quality systems
ï‚· Leadership
ï‚· Product and process design
ï‚· Continuous improvement
ï‚· Understanding process control
ï‚· Using quantitative methods and tools
ï‚· Computing process and performance capability

Course Outline
ï‚· Overview of management and leadership principles
ï‚· Quality philosophies and foundations
ï‚· The Quality Management System (QMS)
ï‚· Strategic planning
ï‚· Deployment techniques
ï‚· Quality Information System (QIS)
ï‚· Facilitation principles and techniques
ï‚· Customer relations
ï‚· Supplier management

ï‚· The quality system
ï‚· Elements of the quality system
ï‚· Documentation of the quality system
ï‚· Quality standards and other guidelines
ï‚· Quality audits
ï‚· Cost of Quality (COQ)
ï‚· Quality training

ï‚· Product and process design
ï‚· Classification of quality characteristics
ï‚· Design inputs and review
ï‚· Reliability and maintainability

ï‚· Product and process control
ï‚· Tools
ï‚· Material control
ï‚· Acceptance sampling
ï‚· Measurement System Analysis (MSA) and metrology

ï‚· Continuous improvement
ï‚· Quality control tools
ï‚· Quality management and planning tools
ï‚· Continuous improvement techniques
ï‚· Corrective action
ï‚· Preventive action

ï‚· Quantitative methods and tools
ï‚· Collecting and summarizing data
ï‚· Descriptive statistics
ï‚· Graphical methods for depicting relationships
ï‚· Graphical methods for depicting distributions
ï‚· Continuous distributions
ï‚· Discrete distributions
ï‚· Statistical decision making
ï‚· Point estimates and confidence intervals
ï‚· Hypothesis testing and paired comparison tests
ï‚· Relationships between variables
ï‚· Linear regression and simple linear correlation
ï‚· Statistical Process Control (SPC)
ï‚· Objectives and benefits
ï‚· Common and special causes
ï‚· Selection of variable and rational subgrouping
ï‚· Control charts
ï‚· Process and performance capability
ï‚· Process capability studies and indices
ï‚· Design and analysis of experiments
ï‚· Terminology and ‘ANOVA’
ï‚· Planning and organizing experiments

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