Quality Control and Quality Assurance Course

Lesson 1 • History and Evolution of Quality

Traces quality management from inspection-based models to modern systems thinking. Contextualizes why current practices exist and how they developed.

Lesson 2 • Key Quality Management Principles

Introduces universally accepted principles such as customer focus, process approach, and evidence-based decision making. Anchors all later technical content to these principles.

Lesson 3 • Defining Quality in Industry

Explores multiple definitions of quality from customer, producer, and regulatory perspectives. Provides the conceptual baseline for all quality management activities.

Lesson 1 • QMS Documentation and Records

Teaches creation and control of policies, procedures, work instructions, and quality records. Demonstrates how documentation supports auditability and process consistency.

Lesson 2 • Certification and Surveillance Processes

Explains third-party certification cycles, surveillance audits, and recertification requirements. Prepares students to manage ongoing compliance obligations.

Lesson 3 • Implementing and Maintaining a QMS

Guides gap analysis, implementation planning, and continual improvement of a QMS. Bridges theoretical standards knowledge to practical organizational deployment.

Lesson 4 • Introduction to QMS Frameworks

Covers the structure and purpose of a quality management system as an integrated set of processes. Connects QMS design to the foundational principles introduced in Chapter 1.

Lesson 1 • Descriptive Statistics for Quality Data

Covers measures of central tendency, dispersion, and distribution shape applied to quality measurements. Provides the statistical language used throughout all quantitative quality tools.

Lesson 2 • Probability Concepts in Quality

Introduces probability distributions relevant to defect occurrence and process behavior. Supports understanding of sampling plans and control chart theory.

Lesson 3 • Measurement System Analysis

Evaluates the accuracy, repeatability, and reproducibility of measurement systems using Gage R&R studies. Ensures data collected for quality decisions is reliable.

Lesson 4 • Sampling Theory and Plans

Explains acceptance sampling logic, operating characteristic curves, and sampling plan selection. Connects statistical theory to practical inspection decisions.

Lesson 1 • Variation and Process Stability

Distinguishes common cause from special cause variation and defines process stability. Establishes the conceptual basis for all control chart interpretation rules.

Lesson 2 • Process Capability Analysis

Calculates Cp, Cpk, Pp, and Ppk indices to quantify process performance against specifications. Links capability results to customer requirements and improvement priorities.

Lesson 3 • Control Charts for Attributes

Builds p, np, c, and u charts for defect and defective unit data. Selects the appropriate attribute chart based on subgroup size and defect type.

Lesson 4 • SPC Implementation and Sustainment

Addresses operator training, reaction plans, and SPC system maintenance in production environments. Ensures control charts drive action rather than serve as passive records.

Lesson 1 • Nonconformance Management

Establishes processes for identifying, segregating, dispositioning, and recording nonconforming product. Prevents defective output from reaching customers and feeds corrective action systems.

Lesson 2 • The Seven Basic Quality Tools

Introduces check sheets, Pareto charts, cause-and-effect diagrams, scatter plots, and stratification. Builds the foundational toolkit for data collection and visual analysis.

Lesson 3 • Inspection Planning and Techniques

Designs incoming, in-process, and final inspection plans aligned to product risk and customer requirements. Establishes systematic detection controls within the production flow.

Lesson 4 • The Seven Management and Planning Tools

Covers affinity diagrams, tree diagrams, matrix diagrams, and interrelationship digraphs for complex planning. Extends quality analysis to strategic and cross-functional problems.

Lesson 1 • Problem Definition and Scoping

Applies problem statement writing, IS/IS-NOT analysis, and boundary setting to focus investigations. Prevents wasted effort on symptoms rather than true root causes.

Lesson 2 • Root Cause Analysis Methods

Compares 5-Why, fishbone, fault tree, and Apollo methods for identifying physical, human, and systemic causes. Selects the appropriate method based on problem complexity.

Lesson 3 • Verification and Effectiveness Checks

Validates that implemented corrective actions eliminate the root cause and prevent recurrence. Uses data and process observation to confirm sustained effectiveness.

Lesson 4 • Corrective Action Planning

Develops corrective action plans with verified root cause linkage, ownership, and measurable success criteria. Ensures actions address causes rather than symptoms.

Lesson 1 • Quality Assurance Planning Fundamentals

Develops quality plans that define controls, responsibilities, and acceptance criteria for products and projects. Aligns QA planning with customer requirements and QMS obligations.

Lesson 2 • Audit Planning and Preparation

Creates audit programs, schedules, checklists, and sampling strategies for effective audit execution. Ensures audits are risk-based and cover all critical system elements.

Lesson 3 • Audit Follow-Up and Program Review

Tracks corrective actions from audit findings and evaluates overall audit program performance. Closes the assurance loop and improves future audit effectiveness.

Lesson 4 • Conducting and Reporting Audits

Executes opening meetings, evidence collection, interviews, and closing meetings with professional objectivity. Produces clear audit reports with graded findings and observations.

Lesson 1 • Lean Principles and Waste Elimination

Applies the eight wastes framework and value stream mapping to identify and eliminate non-value-added activities. Reduces process lead time and defect opportunity simultaneously.

Lesson 2 • Continuous Improvement Philosophy

Contrasts breakthrough improvement with incremental Kaizen and positions both within a quality culture. Establishes the mindset and organizational conditions for sustained improvement.

Lesson 3 • Six Sigma DMAIC Methodology

Executes the Define, Measure, Analyze, Improve, and Control roadmap for data-driven quality improvement. Integrates statistical tools from earlier chapters into a structured project framework.

Lesson 4 • Improvement Project Management

Manages improvement projects through charter development, stakeholder alignment, milestone tracking, and benefit realization. Ensures improvement efforts deliver measurable business results.