Production Quality Course

Lesson 1 • Quality Management Systems Overview

Introduces structured QMS frameworks, their components, and certification pathways. Sets the stage for applying systematic quality practices throughout the course.

Lesson 2 • History and Evolution of Quality

Traces quality management from craft inspection to modern systems thinking. Provides historical context that explains why current practices exist.

Lesson 3 • Roles and Responsibilities in Quality

Maps quality ownership across organizational levels from operators to executives. Clarifies accountability structures students will operate within.

Lesson 4 • Defining Quality in Production

Covers the multiple dimensions of quality—conformance, fitness for use, and customer perception. Anchors all subsequent chapters in a shared definitional framework.

Lesson 1 • Measurement System Analysis

Evaluates gauge repeatability, reproducibility, and bias to validate measurement tools. Ensures data collected in later chapters is trustworthy.

Lesson 2 • Descriptive Statistics for Production

Applies measures of central tendency and dispersion to production datasets. Provides the numerical summaries used in all subsequent analysis chapters.

Lesson 3 • Sampling Theory and Plans

Covers random sampling, sample size determination, and acceptance sampling logic. Ensures students can design statistically valid inspection schemes.

Lesson 4 • Probability and Distributions

Introduces normal, binomial, and Poisson distributions relevant to defect modeling. Enables students to predict process behavior and set realistic quality targets.

Lesson 1 • Variable Control Charts

Constructs X-bar, R, and S charts for continuous measurement data. Covers control limit calculation, plotting, and interpretation rules.

Lesson 2 • Control Chart Interpretation Patterns

Identifies runs, trends, cycles, and stratification patterns on control charts. Pattern recognition enables faster diagnosis of process problems.

Lesson 3 • Attribute Control Charts

Builds p, np, c, and u charts for count and proportion defect data. Extends monitoring capability to processes where variable measurement is impractical.

Lesson 4 • Implementing SPC in Production

Guides the practical rollout of statistical process control on the shop floor. Addresses operator training, data collection frequency, and chart maintenance.

Lesson 1 • Specification Limits and Tolerances

Defines upper and lower specification limits, bilateral and unilateral tolerances. Establishes the target boundaries against which capability is measured.

Lesson 2 • Performance Indices Pp and Ppk

Distinguishes short-term capability from long-term performance using Pp and Ppk. Helps students communicate process stability over extended production runs.

Lesson 3 • Capability Indices Cp and Cpk

Calculates and interprets Cp for spread and Cpk for centering relative to specifications. These indices are the primary language of capability reporting.

Lesson 4 • Non-Normal Process Capability

Addresses capability analysis when data does not follow a normal distribution. Equips students to handle real-world processes that violate normality assumptions.

Lesson 1 • Problem Definition and Scoping

Applies problem statements, IS/IS-NOT analysis, and scope boundaries to frame quality issues. Precise problem definition prevents wasted investigation effort.

Lesson 2 • Corrective and Preventive Actions

Structures CAPA plans with owners, timelines, and effectiveness verification criteria. Closes the loop between root cause identification and sustained process improvement.

Lesson 3 • Five Whys and Fault Tree Analysis

Drills from symptom to root cause using iterative why questioning and logic trees. Combines inductive and deductive reasoning for thorough cause verification.

Lesson 4 • Cause-and-Effect Analysis Tools

Constructs fishbone diagrams and applies the 5M+E framework to map potential causes. Provides a visual structure for team-based cause brainstorming.

Lesson 1 • Inspection Methods and Techniques

Covers visual, dimensional, functional, and destructive testing methods. Matches inspection technique to product characteristic and defect type.

Lesson 2 • Nonconforming Material Control

Establishes segregation, identification, and disposition processes for rejected material. Prevents nonconforming product from reaching customers or downstream operations.

Lesson 3 • Acceptance Sampling Execution

Applies single, double, and sequential sampling plans to lot disposition decisions. Balances producer and consumer risk in acceptance decisions.

Lesson 4 • Calibration and Gauge Management

Manages calibration schedules, traceability, and out-of-tolerance response for measurement tools. Ensures inspection results are legally and technically defensible.

Lesson 1 • Sustaining Improvement and Control Plans

Creates control plans, standard work, and monitoring systems to lock in improvement gains. Addresses the common failure mode of reverting to pre-improvement conditions.

Lesson 2 • Design of Experiments for Improvement

Uses factorial and response surface designs to identify optimal process settings. DOE provides statistically rigorous evidence for improvement decisions.

Lesson 3 • DMAIC Framework Application

Executes the Define, Measure, Analyze, Improve, and Control phases of a quality improvement project. Provides a repeatable project structure applicable to any production problem.

Lesson 4 • Lean Principles and Waste Elimination

Identifies the eight wastes and applies value stream mapping to expose non-value-added activities. Lean thinking complements statistical tools by targeting flow and efficiency.

Lesson 1 • Quality Auditing and Compliance

Plans and conducts internal audits to verify QMS conformance and identify improvement opportunities. Prepares students for both auditor and auditee roles.

Lesson 2 • Customer Satisfaction and Feedback Systems

Captures, analyzes, and acts on customer complaints, returns, and satisfaction surveys. Closes the feedback loop between customer experience and production quality decisions.

Lesson 3 • Supplier Quality Management

Designs supplier qualification, monitoring, and development programs to control incoming quality. Extends quality management beyond the factory to the supply chain.

Lesson 4 • Building a Quality Culture

Identifies cultural enablers and barriers to quality and applies change management techniques. Sustains quality performance through people engagement, not just systems.