# Lean Six Sigma Black Belt

## Cost: Contact us for quote. Duration: 10 days

**Overview**

Comprehensive and authorised training and exam preparation course to achieve your Black Belt Certification with the International Association of Six Sigma Certification (IASSC) – the most highly regarded independent global benchmark for Six Sigma Certification.

The Lean Six Sigma Black Belt Certification Training Course provides you with an in-depth understanding of Six Sigma fundamentals and advanced phases. This course is designed to prepare you to implement and manage Six Sigma Projects in the workplace and pass the IASSC Certification exam.

**Foreword**

This Lean Six Sigma Black Belt Training is 10-days of comprehensive theory and practical application using advanced statistical analysis and modeling. Whilst there is no formal pre-requisite (you don't have to be Yellow or Green Belt to enrol in this course), people with prior experience and advanced mathematical competencies will also find the course appropriate to their level of knowledge.

Upon completion of this course you will have covered all the materials and concepts required to drive significant change within any organisation, and have practiced the skills required to successfully pass the stringent IASSC Certification exam.

You'll learn from the best in the business; Black Belts and Master Black Belts who will share their decades of experience with you.

Attend this comprehensive, 10-day course and you'll be ready to take your career to the next level!

**Outcomes**

During this course, you will develop the:

- Understanding and implementation of the concepts of Six Sigma
- Ability to plan projects to achieve maximum process efficiency
- Capability to recognise elements of waste and countering them
- Skills to measure key aspects of a process to collect relevant data
- Ability to create a process map
- Ability to identify and measure process capability
- Ability to analysis data accurately to find cause-and-effect relationship and identify the root cause of errors
- Hypothesis testing knowledge
- Ability to improve processes based on analysis
- Understanding of how to use various industry models for process improvement
- Ability to control processes
- Ability to ensure errors are removed before they can damage a process
- Understanding of capability analysis
- Understanding and use of lean

Skills to control processes, productivity and waste

**Course Outline **

### LSS Black Belt Define Phase

#### Phase Description:

The Define Phase of the DMAIC methodology is constructed to introduce the core fundamentals of Six Sigma. There are 5 modules in this phase:

#### Understanding Six Sigma

- Describe the objectives of Six Sigma
- Describe the relationship between variation and sigma
- Recognize some Six Sigma concepts
- Recognize the Six Sigma implementation model
- Describe your role and responsibilities in Six Sigma

#### Six Sigma Fundamentals

- Describe what is meant by "Process Focus"
- Describe the importance of VOC, VOB, and VOE, and CTQ's
- Explain COPQ
- Generate a Process Map
- Describe the Basic Six Sigma metrics
- Explain the difference between FTY and RTY
- Explain the difference between DPU and DPMO

#### Selecting Projects

- Utilize a structured approach to select projects
- Refine and Define the problem into a Project Charter
- Make an initial estimate of your project's benefits

#### Elements of Waste

- Have a clear understanding of the specific deliverables
- Have started to develop a Project Plan to meet the deliverables
- Have identified ways to deal with potential roadblocks
- Be ready to apply the Six Sigma method through your project

#### Wrap Up & Action Items

### LSS Black Belt Measure Phase

#### Phase Description:

The Measure Phase of the DMAIC methodology is constructed to introduce important Six Sigma tools for characterizing your business issues. There are 6 modules in this phase:

#### Welcome to Measure

#### Process Discovery

- Create a high level Process Map
- Create a Fishbone Diagram
- Create an X-Y Diagram
- Describe the elements of a FMEA
- Explain the importance of a FMEA
- Describe why each tool is important

#### Six Sigma Statistics

- Explain the various statistics used to express location and spread of data
- Describe the characteristics of a Normal Distribution
- Test for Normality
- Describe the difference between Special Cause and Common Cause Variation
- Generate a variety of graphs for data

#### Measurement System Analysis

- Perform the step by step methodology in Variable and Attribute MSA's
- Identify the various components of variation so corrections can be made and the gage error reduced
- Recognize the differences between Repeatability, Reproducibility, Accuracy and Calibration

#### Process Capability

- Estimate Capability for Continuous Data
- Describe the impact of Non-normal Data on the analysis presented in this module for Continuous Capability
- Estimate Capability for Attribute Data

*Wrap Up & Action Items*

### LSS Black Belt Analyze Phase

#### Phase Description:

The Analyze Phase of the DMAIC methodology is constructed to introduce important Six Sigma tools for isolating critical factors. There are 9 modules in this phase:

#### Welcome to Analyze

#### 'X' Sifting

- Perform a Multi-Vari Analysis
- Interpret and a Multi-Vari Graph
- Identify when a Multi-Vari Analysis is applicable
- Interpret what Skewed data looks like
- Explain how data distributions become Non-normal when they are really Normal

#### Inferential Statistics

- Explain the meaning of the term "Inferential Statistics".
- Describe the basic tenets of the Central Limit Theorem.
- Describe the impact of sample size on your estimates of population parameters.
- Explain Standard Error

#### Intro to Hypothesis Testing

- Articulate the purpose of Hypothesis Testing
- Explain the concepts of the Central Tendency
- Be familiar with the types of Hypothesis Tests

#### Hypothesis Testing Normal Data Part 1

- Determine appropriate sample sizes for testing Means
- Conduct various Hypothesis Tests for Means
- Properly Analyze Results

#### Hypothesis Testing Normal Data Part 2

- Be able to conduct Hypothesis Testing of Variances
- Understand how to Analyze Hypothesis Testing Results

#### Hypothesis Testing Non-Normal Data Part 1

- Conduct Hypothesis Testing for equal variance
- Conduct Hypothesis Testing for Medians
- Analyze and interpret the results

#### Hypothesis Testing Non-Normal Data Part 2

- Calculate and explain test for proportions
- Calculate and explain contingency tests

#### Wrap Up & Action Items

### LSS Black Belt Improve Phase

#### Phase Description:

The Improve Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are eight modules in this phase:

#### Welcome to Improve

#### Process Modeling Regression

- Perform the steps in a Correlation and a Regression Analysis
- Explain when Correlation and Regression is appropriate

#### Advanced Process Modeling

- Perform Non-Linear Regression Analysis
- Perform Multiple Linear Regression Analysis
- Determine the reason for experimenting
- Describe the difference between a physical model and a DOE model
- Explain an OFAT experiment and its primary weakness
- Shown Main Effects Plots and interactions, determine which effects and interactions may be significant
- Create a Full Factorial Design

#### Experimental Methods

- Be able to Design, Conduct and Analyze an Experiment

#### Full Factorial Experiments

- Understand how to Create Balanced & Orthogonal Designs
- Explain how Fit & Diagnose & Center Points factors into an experiment

#### Fractional Factorial Experiments

- Explain why & how to use a Fractional Factorial Design
- Create a proper Fractional Factorial Design
- Analyze a proper model with aliased interactions

#### Wrap Up & Action Items

### LSS Black Belt Control Phase

#### Phase Description:

The Control Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are eight modules in this phase:

#### Welcome to Control

#### Advanced Experiments

- Use the results of a DOE to determine how to further optimize a process using the steepest ascent/descent method

#### Capability Analysis

- Understand the importance of Capability Analysis as it is applied in the Control Phase
- Select the appropriate method for Capability Analysis based on the type of data distribution of your process
- Interpret the output of MINITABTM's Capability functions
- Understand how the use for Capability Analysis may alter through the DMAIC phases

#### Lean Controls

- Describe Lean tools
- Understand how these tools can help with project sustainability
- Understand how the Lean tools depends on each other
- Understand how tools must document the defect prevention created in the Control Phase

#### Defect Controls

- Describe some methods of defect prevention
- Understand how these techniques can help with project sustainability
- Including reducing those outliers as seen in the Advanced Process Capability section
- If the vital X was identified, prevent the cause of defective Y
- Understand what tools must document the defect prevention created in the Control Phase

#### Statistical Process Control - SPC

- Describe the elements of an SPC Chart and the purposes of SPC
- Understand how SPC ranks in defect prevention
- Describe the 9 Step route or methodology of implementing a chart
- Design subgroups if needed for SPC usage
- Determine the frequency of sampling
- Understand the Control Chart selection methodology
- Be familiar with Control Chart parameter calculations such as UCL, LCL and the Center Line

#### Six Sigma Control Plans

- Understand the 5 phases of the Control Plan
- Training
- Documentation
- Monitoring
- Response
- Aligning Systems and Structures