Manufacturing Strategy: Quality Management and Operational Excellence Course

Lesson 1 • Key Quality Management Philosophies

Compares foundational philosophies from Deming, Juran, Crosby, and Ishikawa. Enables practitioners to select and apply appropriate philosophical frameworks.

Lesson 2 • History of Quality Management

Traces quality management from inspection-based approaches to modern systems thinking. Provides historical context for understanding current methodologies.

Lesson 3 • Introduction to Quality Management Systems

Introduces structured frameworks for managing quality across an organisation. Sets the stage for deeper system-level study in subsequent chapters.

Lesson 4 • Defining Quality in Manufacturing

Examines multiple definitions of quality and how each applies to production contexts. Connects quality definitions to customer expectations and competitive positioning.

Lesson 1 • Control Chart Construction and Use

Covers selection, construction, and interpretation of variable and attribute control charts. Directly enables process monitoring tasks performed on the shop floor.

Lesson 2 • Sampling Strategies and Plans

Explains rational subgrouping, sample size selection, and acceptance sampling principles. Ensures statistically valid data collection for control chart and capability studies.

Lesson 3 • Process Capability Analysis

Teaches Cp, Cpk, Pp, and Ppk indices to assess whether processes meet specification limits. Links capability analysis to customer requirements and design tolerances.

Lesson 4 • Variation and Process Behaviour

Distinguishes common-cause from special-cause variation and explains their management implications. Provides the statistical foundation required for all control chart applications.

Lesson 1 • Failure Mode and Effects Analysis

Teaches design FMEA and process FMEA to proactively identify and prioritise failure risks. Integrates risk-based thinking into product and process development.

Lesson 2 • Structured Problem-Solving Frameworks

Applies 8D, A3, and DMAIC frameworks to guide teams from problem definition to verified solution. Builds a repeatable organisational capability for resolving quality issues.

Lesson 3 • Root Cause Analysis Techniques

Applies 5-Why analysis, fault tree analysis, and is/is-not analysis to find true defect causes. Prevents recurrence by addressing root causes rather than symptoms.

Lesson 4 • Seven Management and Planning Tools

Covers affinity diagrams, relations diagrams, tree diagrams, matrix diagrams, arrow diagrams, PDPC, and prioritisation matrices. Supports complex, cross-functional quality planning activities.

Lesson 1 • Flow, Pull, and Takt Time

Explains continuous flow, pull systems, kanban, and takt time calculation. Connects demand-driven production to inventory reduction and lead time improvement.

Lesson 2 • Lean Thinking and Value Creation

Defines value from the customer perspective and introduces the five lean principles. Establishes the philosophical foundation for all subsequent lean tool applications.

Lesson 3 • Identifying and Eliminating the Eight Wastes

Categorises the eight wastes (DOWNTIME) and provides detection methods for each. Enables practitioners to systematically reduce waste across all production areas.

Lesson 4 • Value Stream Mapping

Teaches current-state and future-state value stream mapping to visualise and improve flow. Provides a system-level view that guides prioritised improvement efforts.

Lesson 1 • Improve and Control Phases

Generates, selects, and pilots solutions, then locks in gains through control plans and monitoring. Completes the DMAIC cycle with sustainable, verified process improvements.

Lesson 2 • Analyze Phase: Root Cause Identification

Applies graphical and statistical analysis to identify and verify root causes of variation. Narrows the list of potential causes to those with confirmed process impact.

Lesson 3 • Six Sigma Concepts and Metrics

Introduces sigma levels, DPMO, yield, and the business case for Six Sigma. Provides the measurement language used throughout DMAIC project execution.

Lesson 4 • Measure Phase: Baseline Assessment

Establishes process baselines using data collection plans, MSA, and process capability analysis. Quantifies the gap between current and target performance.

Lesson 1 • Key Performance Indicators and Metrics

Designs balanced KPI systems covering safety, quality, delivery, cost, and morale dimensions. Connects operational metrics to strategic goals and drives aligned decision-making.

Lesson 2 • Hoshin Kanri and Strategy Deployment

Applies Hoshin Kanri to cascade strategic objectives into actionable improvement plans. Aligns daily operational activities with long-term organizational priorities.

Lesson 3 • Building an Improvement Infrastructure

Establishes roles, governance, training pathways, and recognition systems for sustained OpEx. Creates the organizational capability needed to self-sustain continuous improvement.

Lesson 4 • Improvement Project Portfolio Management

Manages a portfolio of improvement projects to maximize strategic impact and resource efficiency. Prevents initiative overload by prioritizing and sequencing projects systematically.

Lesson 1 • Certification and Surveillance Processes

Explains the certification body selection, stage audits, and ongoing surveillance audit cycle. Prepares organizations to achieve and maintain third-party QMS certification.

Lesson 2 • International QMS Standards Overview

Surveys major international quality standards applicable to manufacturing and their certification requirements. Positions organizations to select the appropriate standard for their industry.

Lesson 3 • Documentation and Record Control

Designs document hierarchies, control procedures, and record retention systems for QMS compliance. Ensures traceability and auditability across all quality-related activities.

Lesson 4 • Internal Audit and Management Review

Trains practitioners to plan, conduct, and report internal audits and management reviews. Drives continual improvement through systematic evaluation of QMS effectiveness.

Lesson 1 • Reliability Engineering Principles

Covers failure rate, MTBF, MTTF, reliability functions, and life data analysis. Enables engineers to predict and improve product reliability throughout the product life cycle.

Lesson 2 • Taguchi Methods and Robust Design

Applies Taguchi orthogonal arrays and signal-to-noise ratios to achieve robust product performance. Reduces sensitivity to noise factors in both design and manufacturing environments.

Lesson 3 • Quality by Design and Design for Manufacturability

Embeds quality requirements into product design using DFM, DFA, and tolerance stack-up analysis. Reduces downstream quality problems by resolving design issues before production launch.

Lesson 4 • Design of Experiments Fundamentals

Introduces full factorial, fractional factorial, and response surface designs for process optimization. Enables practitioners to efficiently identify optimal process settings with minimal experimentation.