This course is intended for those planning to sit for the 'Certified Quality Engineer' exam. This course provides a very thorough overview of the reliability, acceptance sampling, and quantitative methods topics covered in the body of knowledge for the ASQ Certified Quality Engineer (CQE) exam.
Course Methodology
This course is designed to teach topics which are most commonly addressed on the CQE exam. Each topic is presented in a practical, easy to follow manner that emphasizes the practical application of the tools covered. A comprehensive manual, designed for use as an exam reference book, is provided to each attendee. This is not an introductory course and is intended for those planning to sit for the Certified Quality Engineer Exam. However, the topics are covered in such sufficient detail that people with little advance knowledge of the concepts will be able to master them with practice. Participants will be given the opportunity to practice most quantitative tools during class as well as with optional homework exercises. It includes an appendix that includes all necessary statistical tables and a removable set of more than 500 sample exam questions (with an answer key) for exam study purposes. Group discussions and exercises will be used to
Course Objectives
By the end of the course, participants will be able to:
Review the body of knowledge in preparation for the 'ASQ' Certified Quality Engineer examination
Master the effective use of the tools covered in the quantitative methods, reliability, and acceptance sampling sections of the body of knowledge
Apply the components of the Body of Knowledge (BOK) to further focus their preparation efforts
Explain, through discussions, the main concepts in each of the BOK elements
Refine their thinking approach in preparation for the ‘constructed response’ section of the examination
Practice mock exams
Target Audience
Quality engineers, manufacturing/process engineers, quality managers, quality improvement professionals, consultants, or anyone preparing to take the CQE exam should attend this training.
Target Competencies
Quality improvement and management
Problem solving
Process management
Quantitative methods
Reliability
Acceptance sampling
Quality system and quality models
Note
* All attendees are required to bring their own copy of the ANSI/ASQ Z1.4-2008 standard to this training course. These will not be provided for you. You can purchase a copy of this standard from ASQ web site.
*Taking this course does not constitute or imply the successful passing of the ASQ Certified Quality Engineer exam. Participants will need to study other CQE BOK topics and practice course concepts outside of class to adequately prepare for the exam.
*This course is designed to teach the reliability, acceptance sampling, and quantitative methods topics included in the BOK, so no prior knowledge of statistics is necessary. However, a solid understanding of basic algebra and the ability to work with algebraic formulas is required. Experience as a quality engineer is required to qualify for the exam.
*Bring a scientific calculator preferably model Casio fx-991ES Plus as this model is going to be used in the class
Course Outline
Management and Leadership
Quality Philosophies and Foundations
Evolution of Quality
Continuous improvement tools
The Quality Management System (QMS)
ASQ Code of Ethics for Professional Conduct
Leadership Principles and Techniques
Facilitation Principles and Techniques
Customer Relations
Supplier Management
Quality Standards and Other Guidelines
Acceptance Sampling
General Concepts
Type I (Producer’s) and Type II (Consumer’s) Risk
Operating Characteristics (OC) Curves
Overview of Acceptance Sampling Plans
Reliability and Risk Management
Terms and Definitions
Reliability Life Characteristic Concepts
Design of Systems for Reliability (Series, Parallel-Series, and Series-Parallel Systems)
Active vs. Passive Redundancy
Availability and Maintainability
Failure Rates and the Bathtub Curve
Methods to Maintain Process and Product Reliability
Calculation of MTTF and MTBF
Quantitative Concepts
Concepts of Probability and Statistics
Collecting and Summarizing Data
Properties and Applications of Probability Distributions