Introduction to Quality Engineering (ASQ)

This DIXONTECH course provides a solid foundation in Quality Engineering principles and practices in alignment with ASQ (American Society for Quality) standards. Participants will gain a comprehensive understanding of quality engineering tools, statistical methods, and process improvement techniques that ensure product and service excellence. The training integrates measurement systems, statistical process control (SPC), and quality planning to prepare professionals for practical applications and ASQ certification readiness.

TRAINING TOPICS

• Fundamentals of Quality Engineering and ASQ Standards

• Quality Systems and Management Principles

• Statistical Quality Control (SQC) and Process Capability

• Measurement Systems Analysis (MSA) and Calibration

• Sampling Plans and Inspection Methods

• Root Cause Analysis and Problem-Solving Tools

• Process Design and Product Validation

• Design of Experiments (DOE) Basics

• Quality Improvement, Auditing, and Cost of Quality (COQ)

• Preparing for ASQ Quality Engineer Certification

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

• Understand ASQ quality engineering principles and frameworks

• Apply key tools for measurement and process control

• Conduct data-driven analysis for process improvement

• Evaluate product and process quality performance

• Implement effective problem-solving and root cause analysis

• Support quality assurance and engineering functions

• Contribute to continuous improvement initiatives

TRAINING IS TAILORED TO:

• Quality engineers and technicians

• Manufacturing and production professionals

• Process and design engineers

• Quality assurance and control specialists

• Auditors and compliance professionals

• R&D and product development teams

• Professionals preparing for ASQ Quality Engineer certification

TRAINING METHODOLOGY

This DIXONTECH program integrates theoretical knowledge with hands-on practice through workshops, case studies, and simulations. Participants will perform statistical analysis, interpret control charts, and apply ASQ methodologies to real-world engineering challenges. The course emphasizes interactive discussions, problem-solving exercises, and readiness for ASQ exam standards and best practices.

DAY 1

INTRODUCTION TO QUALITY ENGINEERING AND ASQ FRAMEWORK

• Role of quality engineering in modern organizations

• Overview of ASQ Quality Engineering Body of Knowledge

• Quality management principles and ISO alignment

• Key terms: reliability, validity, and precision

• Quality systems, documentation, and audits overview

• Linking engineering design to quality outcomes

• Fundamentals of quality planning and control

• Case study: impact of quality systems on performance

DAY 2

MEASUREMENT SYSTEMS AND DATA ANALYSIS

• Importance of measurement accuracy and reliability

• Measurement System Analysis (MSA) and Gage R&R studies

• Data types, accuracy, precision, and bias concepts

• Statistical process data collection and organization

• Sampling methods and inspection techniques

• Descriptive statistics and process capability indices (Cp, Cpk)

• Practical workshop: performing an MSA study

• Case example: improving data integrity in production

DAY 3

STATISTICAL QUALITY CONTROL AND PROCESS CAPABILITY

• Principles of statistical quality control (SQC)

• Understanding variation and process stability

• Control charts for variable and attribute data

• Process capability studies and performance analysis

• Applying SPC in manufacturing and service industries

• Identifying and responding to process out-of-control conditions

• Workshop: constructing and interpreting control charts

• Exercise: calculating process capability metrics

DAY 4

ROOT CAUSE ANALYSIS, PROBLEM-SOLVING, AND DOE

• Structured problem-solving and root cause tools (Fishbone, 5 Whys)

• Failure Modes and Effects Analysis (FMEA) for risk assessment

• Design of Experiments (DOE): concepts and benefits

• Applying experimental design in process optimization

• Using Pareto analysis for prioritizing quality issues

• Developing corrective and preventive actions (CAPA)

• Workshop: root cause and solution implementation exercise

• Case study: DOE-driven process improvement

DAY 5

QUALITY COSTS, IMPROVEMENT, AND CERTIFICATION READINESS

• Understanding Cost of Quality (COQ) and performance impact

• Continuous improvement and Lean integration in quality engineering

• Implementing corrective, preventive, and improvement systems

• Auditing quality systems for compliance and effectiveness

• Preparing for ASQ Certified Quality Engineer (CQE) exam

• Review of key topics and practical exam exercises

• Workshop: quality audit simulation and best practices review

• Final assessment and personal development plan