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Course Category: Six Sigma & Lean

Six Sigma Black Belt Training Course

Who Would Benefit

This top-tier programme is ideal for those professionals who are already experienced in applying the Six Sigma Methodology as the lead on complex projects as a full-time Project Manager leading teams that include both yellow and green belt practitioners. The Lean Black Belt Six Sigma training course will guide you through all aspects of Lean Six Sigma methodology to an advanced level of competence.

Course Description

At the end of Lean & Six Sigma Black Belt training you will have a far greater knowledge of how the 2 methodologies can improve & enhance the business. The training will involve 10 days of classroom training and practical work.


This is then followed by 2 on the job projects, which involves using all the tools correctly and making a cost saving or increase in productivity that would enhance the company profit by a minimum of £100,000 each project. Alternatively, you can complete one project to the value of £100,000 within 6 months and prove a history of 3 years in a role of quality management and should have worked in process improvement projects.


During the project stage the trainer will meet with each delegate once per month. During these sessions they will check they are on track with their project (in terms of using the right tools, passing each stage and making savings), ideally this is a face to face session. We can mix some remote sessions with face to face sessions if need be. The at the end of the project(s) they need to meet again to validate that they have used the correct “tools”, made the right savings and be certified as Six Sigma Black Belts.


Please Note: To take the black belt training, you must already be a green belt.


  • 10-day classroom course (max 7 people)
  • 1 year to complete 2 projects
  • Monthly mentoring sessions during the projects
  • Final sign off meeting
  • Certification
  • Minimum saving of £100,000 per delegate per project (£200,000 in total)
Learning Outcomes
  • Apply the black belt six sigma tools and methodologies to projects
  • Undertake every stage of a project to black belt standards
  • Show an in-depth knowledge of applying the black belt six sigma DMAIC
  • Implement defined solutions
  • Apply operational change management techniques within their defined scope
  • Lead large scale black belt improvement projects
  • Mentor yellow and green belts
  • Identify areas within their business where six sigma black belt projects can be applied.
  • Lead and improvement team
The Programme Includes:

Part 1: Define Phase

Six Sigma Basics
  • Meanings of Six Sigma
  • Deliverables of a Lean Six Sigma Project
  • The Problem-Solving Strategy Y = f(x)
  • Voice of the Customer, Business and Employee
  • Six Sigma Roles & Responsibilities
Six Sigma Fundamentals
  • Defining a Process
  • Serious Quality Characteristics (CTQ’s)
  • Poor Quality Cost
  • The Pareto Analysis (80:20 rule)
  • Six Sigma – Measurement Standards
Selecting Lean Six Sigma Projects
  • Building a Business Case & Project Charter
  • Developing Project Metrics
  • Financial Evaluation & Benefits Capture
Understanding The Lean Enterprise
  • The Combination of Lean & Six Sigma
  • The Seven Waste Elements 

Part 2: Measure Phase

Process Definition
  • Cause & Effect / Fishbone Diagrams
  • Process Mapping, SIPOC, Value Stream Map
  • X-Y Diagram
  • Failure Modes & Effects Analysis (FMEA)
Six Sigma Statistics
  • Basic Statistics
  • Descriptive Statistics
  • Normal Distributions & Normality
  • Graphical Analysis
Measurement System Analysis
  • Precision & Accuracy
  • Bias, Linearity & Stability
  • Gage Repeatability & Reproducibility
  • Variable & Attribute MSA
Process Capability
  • Capability Analysis
  • Concept of Stability
  • Attribute & Discrete Capability
  • Monitoring Techniques


Part 3: Analyse Phase

Patterns of Variation
  • Multi-Variation Analysis
  • Classes of Distributions
Inferential Statistics
  • Understanding Inference
  • Sampling Techniques & Uses
  • Central Limit Theorem
Hypothesis Testing
  • General Concepts & Goals of Hypothesis Testing
  • Significance; Practical vs. Statistical
  • Risk; Alpha & Beta
  • Types of Hypothesis Test
Hypothesis Testing with Normal Data
  • 1 & 2 sample t-tests
  • 1 sample variance
  • One Way ANOVA
Hypothesis Testing with Non-Normal Data
  • Mann-Whitney
  • Kruskal-Wallis
  • Mood’s Median
  • Friedman
  • 1 Sample Sign
  • 1 Sample Wilcoxon
  • One and Two Sample Proportion
  • Chi-Squared (Contingency Tables)


Part 4: Improve Phase

Simple Linear Regression
  • Correlation
  • Regression Equations
  • Residuals Analysis
Multiple Regression Analysis
  • Non- Linear Regression
  • Multiple Linear Regression
  • Confidence & Prediction Intervals
  • Residuals Analysis
  • Data Transformation, Box-Cox
Designed Experiments
  • Experiment Objectives
  • Experimental Methods
  • Experiment Design Considerations
Full Factorial Experiments
  • 2k Full Factorial Designs
  • Linear & Quadratic Mathematical Models
  • Balanced & Orthogonal Designs
  • Fit, Diagnose Model and Center Points
Fractional Factorial Experiments
  • Designs
  • Confounding Effects
  • Experimental Resolution


Part 5: Control Phase

Lean Controls
  • Control Methods for 5S
  • Kanban
  • Poka-Yoke (Mistake Proofing)
Statistical Process Control (SPC)
  • Data Collection for SPC
  • I-MR Chart
  • Xbar-R Chart
  • U Chart
  • P Chart
  • NP Chart
  • Xbar-S Chart
  • CumSum Chart
  • EWMA Chart
  • Control Methods
  • Control Chart Anatomy
  • Subgroups, Impact of Variation, Frequency of Sampling
  • Center Line & Control Limit Calculations
Six Sigma Control Plans
  • Cost Benefit Analysis
  • Elements of the Control Plan
  • Elements of the Response Plan
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