Lean Six Sigma Practitioners Black Belt – week 2 (inc exam)

Overview

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 ten day course provides the experienced Green Belt with the necessary tools and techniques to manage improvement resources to deliver major projects. This hand-on learning experience develops both the delegate's technical knowledge and personal skills. The course uses a blend of theory and practical exercises to ensure that participants have the confidence and capability to deliver more complex business improvement projects and transformations.

The examination, Lean Six Sigma Black Belt, is taken on the final day of this second week.

Find out more details on the Lean Six Sigma Certification information page.

Prerequisites

Experienced Green Belts who want to enhance and apply their skills to larger more complex projects. Delegates must have completed Lean Six Sigma Practitioner Green Belt (Part 1) (LSSMGB1) or equivalent. Delegates should, ideally, have a project identified to complete post-training (this is required for certification).

Delegates will learn how to

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

Course Outline

Course outline for week 1 can be found here

Analyse (Analysis of Variance)

• ANOVA
• SPAN
• Lean Metrics, Value, Value Stream Analysis, Flow and Pull

Analyse (Regression Analysis)

• Introduction to Regression
• Multiple Linear Regression
• Logistic Linear Regression
• Regression Issues

Improve (Designs of Experiments)

• Introduction to Designs of Experiments
• 2 by n Full Factorial Design of Experiments
• Fractional Factorial Design of Experiments
• Planning Designs

Improve and Control (Selecting Solutions and Control Charting)

• Creative Thinking
• Solution Selection
• Lean Solutions
• Piloting Solutions
• Control Chart Theory
• Creating Control Charts
• Specialty Control Charts

Improve and Control (Optimization of Solution)

• Response Surface Analysis
• Review and Close
• Examination