Lean Six Sigma Practitioners Black Belt - week 1 Training in Canada

This ten-day course (delivered over two weeks - LSSBBWK1 & LSSBBWK2) provides the experienced Green Belt with the necessary tools and techniques to deliver complex process improvement projects.

Lean and Six Sigma, both proven business improvement approaches, provide businesses with the ability to maximise customer, employee and shareholder value by minimising process variation and waste.

This hand-on learning experience develops the delegate's technical knowledge and skills. The course uses a blend of theory and practical exercises to ensure that delegates have the confidence and capability to deliver more complex business improvement projects and transformations using the advanced statistical tools required.

• Delegates must have completed a Lean Six Sigma Green Belt course with either QA (LSSGBP) or another organisation.
• Delegates should ideally, have completed a Green Belt project using the DMAIC framework.
• Delegates should also have a second project identified to complete post-training. This is required for accreditation
• Access to Minitab will be required to complete this course, therefore a personal device is highly recommended

Suggested pre-reading

• Lean Six Sigma and Minitab by Quentin Brook
• Statistics without tears by Derek Rowntree

Target audience

Experienced Green Belts who want to enhance and apply their skills to larger more complex projects and be recognised as a Lean Six Sigma Black Belt.

This ten-day course, ran as two 5-day sessions (week 1 and week 2), will enable experienced Green Belt delegates to become self-sufficient process improvement practitioners with the capability to analyse opportunities and optimise solutions using Minitab.

By the end of this course, learners will be able to:

• Explain the key principles and phases of the Six Sigma DMAIC methodology.
• Apply advanced problem-solving tools to identify, analyse, and improve organisational processes.
• Conduct voice of the customer (VOC) and critical-to-quality (CTQ) analyses to define customer requirements.
• Use data collection planning and measurement system analysis to validate process inputs.
• Evaluate process performance using statistical tools such as process capability studies and control charts.
• Lead cross-functional teams in structured Lean Six Sigma improvement projects.
• Apply the Define and Measure phases in real-world project settings using appropriate templates and documentation.

Define

• Quality Function Deployment

Measure

• Balanced scorecards
• Introduction to Minitab
• Basic statistical concepts
• Central limit theorem
• Measurement Systems analysis (MSA)
• Continuous data MSA
• Discrete data (MSA)
• Standardised Normal distribution
• Capability Cp and Cpk
• Process Efficiency calculations

Analyse

• Graphs using Minitab
• Statistical tests using Minitab
• Hypothesis testing of Continuous data
• One sample t-test
• Two sample t-test
• Homogeneity of variance test
• Balanced ANOVA
• Hypothesis testing of Discrete data
• One and two proportion tests
• Chi-squared test
• Non-Normal data
• Mann Whitney u-test
• Moods Median test

Exams

A lean Six Sigma Black Belt examination will be taken on the last day of week two - LSSBBWK2.

It is an open book with a 70% pass mark.

If a delegate fails the exam they will be able to re-sit the examination.

Accreditation

Once a delegate has completed the course and passed the examination they will be required to demonstrate the application of their learning in an appropriate DMAIC improvement project which must use some of the learned advanced statistical tools.

For queries about your projects following the course or to submit your project for accreditation, please contact the Lean Six Sigma group via the email Leanaccreditation@qa.com.