Manufacturing and service organisations lose real money every time a defect slips through, a process drifts out of control, or a decision gets made without solid data. That is exactly the gap this Arab British Fellowship Training Academy programme addresses: a hands-on grounding in ASQ-aligned quality engineering that turns statistical tools, lean thinking and risk-based reasoning into something engineers and quality staff can use on the shop floor, not just on paper.

Across the course, attendees work through quality management systems and ISO expectations, statistical process control, measurement systems analysis, lean and Six Sigma techniques, root-cause investigation, supplier and design quality, and the risk practices that keep a quality system honest. By the end, participants leave with a practical toolkit for driving measurable improvement and defending quality decisions with evidence rather than guesswork.

Objectives

• Explain the core vocabulary and role of quality engineering inside a modern operation.
• Apply statistical tools such as SPC, MSA and DOE to real process data.
• Use lean and Six Sigma methods to cut waste and drive measurable improvement.
• Investigate quality problems methodically using root-cause and problem-solving tools.
• Build and maintain a quality management system aligned with ISO expectations.
• Manage supplier quality and integrate quality thinking into product design.
• Identify, assess and control risk within quality processes.

Who Should Attend?

• Quality engineers and quality assurance staff building on existing experience.
• Production and manufacturing managers accountable for output standards.
• Process improvement and Lean Six Sigma practitioners.
• Supply chain and procurement professionals working with suppliers on quality.
• Engineering graduates or new hires starting out in quality roles.
• Any professional tasked with improving product or process quality.

Module 1: Why Quality Engineering Matters Today

• The cost of poor quality and the business case for quality engineering
• Core terminology and where quality engineers sit in an organisation
• How this course connects tools to real operational outcomes

Module 2: Building a Quality Management Foundation

• Structuring and implementing a quality management system
• ISO 9001 and other relevant standards
• Document control and records management

Module 3: Statistical Process Control Essentials

• Fundamentals of SPC and where it applies
• Control charts and monitoring processes in real time
• Reading data trends and deciding when to act

Module 4: Measurement Systems and Data Reliability

• Why a measurement system has to be trustworthy before you trust the data
• Assessing accuracy and precision
• Gage R&R and its place in quality assurance

Module 5: Lean Thinking and Waste Elimination

• Core lean principles and their link to quality
• Identifying and removing waste
• Applying 5S on the shop floor

Module 6: Six Sigma and Structured Process Improvement

• Introduction to Six Sigma thinking
• Working through the DMAIC cycle
• Using Kaizen for ongoing, incremental gains

Module 7: Getting to the Root of Problems

• Methods for tracing a problem to its underlying cause
• Fishbone diagrams, the 5 Whys and FMEA
• Turning root-cause findings into problem-solving tools: Pareto analysis, flowcharts and control charts

Module 8: Managing Supplier Quality and Product Design

• Ensuring quality across the supply chain
• Working with suppliers to meet and improve standards
• Design of Experiments (DOE) for process and product improvement

Module 9: Risk-Based Quality Assurance

• Identifying and managing risk in quality processes
• Risk assessment and mitigation strategies
• Keeping quality consistent through risk management tools

Module 10: Sustaining a Culture of Continuous Improvement

• Embedding the PDCA cycle into daily operations
• Building a culture that keeps improving after the course ends
• Encouraging innovation as part of quality work