Courses Details
Course Overview
The Lean Six Sigma Black Belt training is the most exclusive certification for the Lean Six Sigma quality management methodology. This Six Sigma Black Belt certification course is the final stage of the Masters program that will position you as an expert in implementing Lean, Design for Six Sigma (DFSS), Six Sigma Define, Measure, Analyze, Improve and Control (DMAIC) and Total Productive Maintenance (TPM). 

Black belts have a thorough understanding of all aspects of the define, measure, analyze, improve and control (DMAIC) model in accordance with Six Sigma principles. 
Course Schedule
Target Audience
Quality Management Staff, Operational / Middle Management level, Controllers, Managers
Course Prerequisites

Six Sigma Black Belt requires two completed projects with signed affidavits or one completed project with signed affidavit and three years of work experience in one or more areas of the Six Sigma Body of Knowledge. For more information, please see the list of Six Sigma Project Affidavit FAQs. You do not need to be a Certified Six Sigma Green Belt.

Work experience must be in a full time, paid role. Paid intern, co-op or any other course work cannot be applied towards the work experience requirement.

Expected Accomplishments

I: Organization-wide Planning and Deployment

  • Will understand how to deploy six sigma within a project.
  • Will be able to implement tools and techniques to deploy strategic directions for initiatives.
  • Will understand the roles and responsibilities for six sigma projects and how each group influences project deployment, and will be able to support communications about the project deployment.
  • Will be able to apply operational change management techniques within their defined scope or domain.

II: Organizational Process Management and Measures

  • Will be able to define various types of benchmarking.
  • Will be able to describe various types of performance measures, and select an appropriate financial measure for a given situation and calculate its result.

III: Team Management

  • Will understand the components and techniques used in managing teams, including time management, planning and decision-making tools, team formation, motivational techniques and factors that demotivate a team, performance evaluation and reward.
  • Will be able to describe elements that can result in a team’s success.
  • Will be able to use appropriate techniques to overcome various group dynamics challenges.

IV: Define

  • Will be able to select data collection methods and collect voice of the customer data, and use customer feedback to determine customer requirements.
  • Will understand the elements of a project charter (problem statement, scope, goals, etc.) and be able to use various tools to track the project progress.

V: Measure

  • Will be able to define and use process flow metrics and analysis tools to indicate the performance of a process.
  • Will be able to develop and implement data collection plans, and use techniques in sampling, data capture, and processing tools.
  • Will be able to define and describe measurement system analysis tools.
  • Will apply basic probability concepts, and understand various distributions.
  • Will be able to calculate statistical and process capability indices.

VI: Analyze

  • Will be able to analyze the results of correlation and regression analyses.
  • Will be able to define multivariate tools.
  • Will be able to perform hypothesis tests for means, variances and proportions and analyze their results.
  • Will understand the components and concepts for ANOVA, Chi-square, contingency tables, and non-parametric tests.
  • Will understand the elements and purpose of FMEA and use root cause analysis tools.
  • Will be able to identify and interpret the 7 classic wastes.
  • Will be able to use gap analysis tools.

VII: Improve

  • Will be able to define and apply design of experiments (DOE) principles, and distinguish among the various types of experiments.
  • Will be able to apply various lean tools and techniques to eliminate waste and reduce cycle time.
  • Will understand how to implement an improved process and how to analyze and interpret risk studies.

VIII: Control

  • Will be able to apply, use, and analyze the various statistical process control (SPC) techniques.
  • Will understand total productive maintenance (TPM) and visual factory concepts.
  • Will be able to develop control plans and use various tools to maintain and sustain improvements.

IX: Design For Six Sigma (DFSS) Framework and Methodologies

  • Will understand common DFSS and DFX methodologies, and elements of robust designs.
Course Outline
Day # 1 & Day 2 :Why Do Six Sigma
1- Definition of Six Sigma
i.Overview of Business Applications
ii.Example Sigma Levels
iii.Introduction to DPMO and Cost as Metrics

2-  Comparisons Between Typical TQM and Six Sigma Programs
 How to Deploy Six Sigma
1.Leadership Responsibilities
2.Description of the Roles and Responsibilities
3.Decision Making

Six Sigma Projects
1.Project Focus
2.Selecting Projects
3.Overview of DMAIC Methodology
4.Project Reporting

Incorporating Voice of the Customer
1.Goal Posts vs. Kano Model
2.Customer Focus and the Leadership Role
3.Overview of QFD
4.Customer Data

DEFINE: Project Definition
Work Breakdown Structure
Pareto Diagrams
Process Maps
Matrix Diagrams
Project Charters

Day 2 & Day 3 : DEFINE: Project Financials
Quality Cost Classifications
Quantifying Project Benefits
DEFINE: Goals and Metrics
Measurement & Feedback
Calculating Sigma Levels

DEFINE: Project Scheduling
1.Activity Network Diagram
2.GANTT Chart

DEFINE: Change Management/Teams
1.Problems With Change
2.Achieving Buy-in
3.Team Formation, Rules, and Responsibilities
i-  Stages of Team Development
ii- Overcoming Problems
4.   Consensus Building 
i.Affinity Diagram
ii.Nominal Group Technique
iii.Prioritization Matrix

1.Measure Stage Objectives
2.Check Sheet
4.Process Maps
6.Box-Whisker Plots
7.Cause and Effect Diagrams

MEASURE: Establishing Process Baseline and analysis
1.Control Charts and Benefits 
2.Requirements vs. Control
3.Types of control charts
4.Using Control Charts
5.ANOVA Method

Day 3 & Day 4: ANALYZE: 
1.Definition of Waste
2.Analyzing Process for NVA
i.Cycle Efficiencies
ii.Lead Time and Velocity
iii.Methods to Increase Velocity
b.Spaghetti Diagrams
iv.   Regression Analysis
v.    Scatter Diagram
vi.   Confidence and Prediction Limits
vii.  DOE (design, planning, analysis)
viii. Taguchi Method
ix. Benchmarking

Day 4 & Day 5 IMPROVE: 
1.Improve Stage Objectives
2.Improvement Strategies (Kaizen and Gemba Kaizen)
4.Standard Operating Procedures
5.Tools to prioritize improvement opportunities
6.Failure Prevention
7.Risks identification, assessment and treatment plans
8.Control (control plans, training, etc)
9.Measuring Improvement