Lean Six Sigma Practitioners Black Belt - week 2 Training in Ireland

This course forms the second week of the ten-day Lean Six Sigma Black Belt programme, which is delivered as two separate five-day sessions. It is designed for experienced Green Belts who want to develop the advanced analytical and leadership capability required to manage larger and more complex process improvement initiatives.

Lean and Six Sigma are established business improvement approaches that help organisations increase value for customers, employees, and stakeholders by reducing process variation and eliminating waste.

During Week 2, participants focus particularly on advanced analysis, regression, Design of Experiments, solution development, and process control. The course combines theory with practical activities so that learners can confidently apply advanced statistical techniques and use Minitab in real improvement projects.

By the end of the programme, participants are expected to progress beyond technical analysis and become independent Black Belt practitioners capable of leading complex DMAIC projects and wider improvement initiatives.

Participants are expected to meet the following requirements:

• Completion of a Lean Six Sigma Green Belt course with QA or another recognised provider,
• Ideally, completion of at least one Green Belt project using the DMAIC framework,
• Completion of Lean Six Sigma Black Belt Week 1,
• Identification of a second project to complete after the training; this is required for accreditation,
• Access to Minitab in order to complete the analytical activities within the course.

Use of a personal device is strongly recommended.

Suggested Pre-Reading

• Lean Six Sigma and Minitab – Quentin Brook
• Statistics Without Tears – Derek Rowntree

This course is particularly suitable for:

• Experienced Green Belts,
• Practitioners who want to lead larger and more complex improvement projects,
• Professionals seeking recognition and capability as Lean Six Sigma Black Belts.

By the end of Week 2 of the ten-day programme, participants will be able to:

• Apply advanced statistical and analytical techniques to create robust process improvement solutions,
• Design and interpret Full Factorial and Fractional Factorial Design of Experiments (DOE),
• Use Linear Regression and Multiple Regression to quantify relationships between process inputs and outputs,
• Apply change management and stakeholder engagement approaches to support improvement initiatives,
• Use Hypothesis Testing and statistical validation to support project decisions,
• Prepare for the Lean Six Sigma Black Belt examination,
• Lead DMAIC projects using appropriate tools, templates, and software to deliver measurable results,
• Operate as independent Black Belt practitioners capable of managing complex improvement programmes.

Analyse – Continued from Week 1

Week 2 begins by extending the Analyse phase with more advanced statistical techniques.

• General Linear Models
• Linear Regression
• Multiple Regression
• Evaluating relationships between process variables
• Interpreting regression outputs
• Using statistical models to support improvement decisions

Improve

This section focuses on using analysis results to develop effective solutions and optimise process performance.

• Design of Experiments (DOE)
• Full Factorial Experiments
• Fractional Factorial Experiments
• Analysing and interpreting experimental results
• Identifying critical process inputs
• Optimising process outputs
• Creative Thinking
• Pattern Breaking
• Generating alternative improvement ideas
• Solution Selection
• Evaluating and prioritising solutions against defined criteria

Control

This section focuses on sustaining improvements and ensuring that improved processes remain stable over time.

• Control Charts
• Monitoring process performance
• Identifying out-of-control conditions
• Supporting the sustainability of improvements
• Deploying Continuous Improvement
• Embedding continuous improvement within the organisation
• Integrating improvement outcomes into day-to-day operations

Black Belt Application and Preparation

Throughout the week, participants combine advanced statistical analysis, Minitab techniques, and improvement tools to strengthen their ability to lead DMAIC projects at Black Belt level.

The second week also supports preparation for the Black Belt examination and helps participants develop the confidence to manage their post-training improvement project independently.