Open Source/ASQ-Certified Quality Engineers (CQE-ASQ)

ASQ-Certified Quality Engineers (CQE-ASQ) Certification Training Course Overview

The 8 days, Certified Quality Engineer certification preparation course, from Koenig Solutions, is developed for professionals who understands the principles of product and service quality evaluation and control. This body of knowledge and applied technologies include, but are not limited to, development and operation of quality control systems, application and analysis of testing and inspection procedures, the ability to use metrology and statistical methods to diagnose and correct improper quality control practices. Also, an understanding of human factors and motivation, familiarity with quality cost concepts and techniques, and the knowledge and ability to develop and administer management information systems. Further, to audit quality systems for deficiency identification and correction.

Target Audience:

The CQE certification preparation course is an excellent tool for anyone interested in preparing for and pursuing the CQE certification.

Learning Objectives

  • Firstly, Learn quality management and leadership: the philosophies and foundations of quality, its leadership principles and techniques, and proven communication skills
  • Secondly, Develop the quality management system (QMS): its design and documentation, standards and guidelines, quality training and auditing, and the cost of quality (COQ)
  • Thirdly, Design of products, processes, and services: classification of characteristics, verification and validation, and reliability and maintainability.
  • Also, Learn critical skills required to implement effective product and process control, including acceptance sampling, material control, metrology, and measurement system analysis.
  • Further, Master the quantitative tools and techniques that drive continuous improvement, from lean and corrective action to kaizen and Six Sigma.
  • Additionally, Understand the ways to summarize data, draw statistical conclusions, analyze distributions, test hypotheses, perform capability studies, and design and execute experiments.

ASQ-Certified Quality Engineers (CQE-ASQ) (64 Hours) Download Course Contents

Live Virtual Classroom Fee On Request
Group Training
01 - 08 Nov GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 - 13 Dec GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
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Course Modules

Module 1: Management and Leadership
  • Quality Philosophies and Foundations
  • The Quality Management System (QMS)
  • ASQ Code of Ethics for Professional Conduct
  • Leadership Principles and Techniques
  • Facilitation Principles and Techniques
  • Communication Skills
  • Customer Relations
  • Supplier Management
  • Barriers to Quality Improvement
Module 2: The Quality System
  • Elements of a Quality System
  • Documentation of the Quality System
  • Quality Standards and Other Guidelines
  • Quality Audits
  • Cost of Quality (COQ)
  • Quality Training
Module 3: Product and Process Design
  • Classification of Quality Characteristics
  • Design Inputs and Review
  • Technical Drawings and Specifications
  • Design Verification
  • Reliability and Maintainability
Module 4: Product and Process Control
  • Tools
  • Material Control
  • Acceptance Sampling
  • Measurement and Test
  • Metrology
  • Measurement System Analysis (MSA)
Module 5: Continuous Improvement
  • Quality Control Tools
  • Quality Management and Planning Tools
  • Continuous Improvement Techniques
  • Corrective Action
  • Preventive Action
Module 6: Quantitative Methods and Tools
  • Collecting and Summarizing Data
  • Quantitative Concepts
  • Probability Distributions
  • Statistical Decision-Making
  • Relationships Between Variables
  • Statistical Process Control (SPC)
  • Process and Performance Capability
  • Design and Analysis of Experiments
Module 7: Risk Management
  • Risk Oversight
  • Risk Assessment
  • Risk Control
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Course Prerequisites

Prior knowledge of statistics and quality engineering is recommended.