Business

Monday 4th March - 8th April (Ayr Campus) - Book here

4th March | 11th March | 18th March | 25th March | 8th April

To be added to our waiting list for future course dates please email businessgrowth@ayrshire.ac.uk

There is an option to fast track our green Belt course if you successfully complete our Yellow Belt course, this will be a 3 day course.

This 5 day ILSSI Certified Lean Six Sigma Green Belt course trains managers and workers how to use Lean Six Sigma methods, tools and techniques to improve their business processes. The course also coaches the delegates how to lead small to medium sized process improvement projects using the DMAIC framework. The ILSSI certification exam is a 2 hour 100 question proctored exam.

Lean Six Sigma Green Belt training and certification introduces the student to more complex Six Sigma statistical methods as well as Lean Leadership styles and developing a Lean Culture in your workplace. As a certified Green Belt you will be capable of leading teams and coaching and mentoring team members or subject matter experts within your company. The 5-day training class will enhance the problem solving skills and leadership skills of the attendees and stimulate them to take positive action for process improvement when they return to their workplace.

There are no course prerequisites for this 5-day Lean Six Sigma course other than a basic understanding of mathematics. Those students already holding a Lean Six Sigma Yellow Belt certification may benefit from their prior knowledge and understanding of overlapping concepts across both courses.

Day 1 (Lean Six Sigma Fundamentals)

• What is Lean? What is Six Sigma?
• Value-Added and Non-Value-Added
• The 8 Wastes DOWNTIME
• Voice of the Customer (VoC) and CTQs
• 5S
• Process Mapping
• Value Stream Mapping VSM

Day 2 (Lean Tools and Define Phase)

• Pull , Kanban and Flow
• Visual Management
• Poka Yoke
• Standardised Work
• SMED
• Kaizen and Kaikaku
• PDCA
• DMAIC

Day 3 (Six Sigma Tools and Measure Phase)

• Ishikawa Diagram
• Pareto Analysis
• FMEA
• Measurement Statistics
• Graphical Tools
• Capability Analysis
• Measurement System Analysis

Day 4 (Analysis and Optimisation)

• Correlation and Regression Analysis
• Introduction to DOE
• Full Factorial Design of Experiment

Day 5 (Control and SPC)

• Introduction to Hypothesis Testing
• Improvements
• Control Phase
• Statistical Process Control