CQE - Certified Quality Engineer

Module 1: Introduction to Quality Engineering
  • Overview of the CQE certification and its relevance
  • Role and responsibilities of a Quality Engineer
  • ASQ Code of Ethics for Quality Professionals
  • Overview of the CQE Body of Knowledge (BoK)
Module 2: Management and Leadership
  • Quality Philosophies and Foundations:
  • Contributions from Deming, Juran, Crosby, and others
  • Quality management systems (ISO 9001, TQM, Baldrige Criteria)
  • Leadership Principles:
  • Organizational culture and change management
  • Roles and responsibilities of leadership in quality
  • Facilitation and Communication:
  • Effective communication techniques
  • Conflict resolution and team dynamics
  • Quality Information Systems:
  • Tools for quality management (ERP, MES, LIMS)
Module 3: The Quality System
  • Quality Audits:
  • Quality Standards and Guidelines:
    • ISO, ASME, ANSI, and industry-specific standards
  • Documentation and Configuration Management:
    • Control of documents and records
    • Change control and traceability
  • Certification and Accreditation:
Module 4: Product and Process Design
  • Design Inputs and Outputs:
  • Translating customer requirements into design specifications
  • Voice of the Customer (VoC) and CTQ characteristics
  • Design Reviews and Verification:
  • Ensuring design adequacy and alignment
  • Reliability and Maintainability:
  • Reliability modeling and failure analysis
  • Preventive and predictive maintenance planning
  • Design for Excellence (DfX):
  • Design for manufacturability, reliability, and cost
Module 5: Product and Process Control
  • Control Plans:
  • Developing and implementing control plans
  • Inspection and Testing:
  • Sampling methods (random, stratified)
  • Destructive vs. non-destructive testing
  • Measurement System Analysis (MSA):
  • Gage R&R, bias, linearity, and stability
  • Metrology:
  • Calibration methods and traceability
  • Material Control:
  • Lot traceability and inventory control
Module 6: Continuous Improvement
  • Lean Principles:
  • Six Sigma and DMAIC Methodology:
    • Basic and advanced Six Sigma tools
  • Root Cause Analysis (RCA):
    • 5 Whys, Ishikawa diagrams, and fault tree analysis
  • Problem-Solving Tools:
    • PDCA cycle, FMEA, and Pareto analysis
  • Kaizen and Rapid Improvement Events:
Module 7: Quantitative Methods and Tools
  • Descriptive Statistics:
  • Measures of central tendency and dispersion
  • Probability Distributions:
  • Normal, binomial, Poisson, and exponential distributions
  • Statistical Process Control (SPC):
  • Control charts for variables and attributes
  • Process capability analysis (Cp, Cpk, Pp, Ppk)
  • Hypothesis Testing:
  • Types of errors, confidence intervals, p-values
  • Design of Experiments (DOE):
  • Full factorial, fractional factorial, and response surface methods
Module 8: Risk Management
  • Risk Analysis Tools:
  • Risk Prioritization:
    • Risk Priority Number (RPN)
    • Decision-making under uncertainty
  • Corrective and Preventive Actions (CAPA):
Module 9: Supply Chain Management
  • Supplier Selection and Evaluation:
  • Criteria for supplier assessment
  • Supplier Quality Assurance (SQA):
  • Establishing quality agreements
  • Supply Chain Risk Management:
  • Identifying and mitigating supply chain risks
  • Material Handling and Logistics:
  • Ensuring quality during transportation and storage
Module 10: Reliability and Maintainability
  • Reliability Fundamentals:
  • MTBF, MTTR, and reliability prediction
  • Life Data Analysis:
  • Weibull analysis and reliability testing
  • Maintainability Concepts:
  • Repair time distributions and maintenance strategies
  • Availability Metrics:
  • Overall Equipment Effectiveness (OEE)

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