Lean Six Sigma Black Belt Training

What is Lean Six Sigma Black Belt Training?

If you already have Six Sigma Green Belt - our Lean Six Sigma Black Belt course will take you to the next level, providing you with the in-depth statistical knowledge you required to manage Six Sigma projects across your organisation.

In most organisations, there is recognition that employees who are trained Green Belts are capable of moving up to Black Belt level. It is important that this opportunity is available without having to complete the full Black Belt course.

This programme has been designed to incorporate those elements from the Black Belt training course that are additional to the Green Belt course.

Black Belts are individuals that apply intensive and diversified process improvement techniques to achieve greater efficiency and effectiveness. A Black Belt provides training, facilitation, direction, analysis and advises on product and process improvement.

We are pleased to announce that we have introduced accreditation for our Black Belt course based on the following:

Written Exam

Exam 1 completed at the end of week 1 - based on the principles and application of Lean Six Sigma taught on the training course
Exam 2 completed at the end of week 2 - based on the analysis from using the statistical software package Minitab as demonstrated and taught on the training course

Work Based Project

Delegate must complete a work-based project that follows the Lean Six Sigma DMAICT approach that saves your organisation in excess of £250k or two smaller projects that saves in excess of £100k
Evidence should be provided by the delegate that quantifies the benefits in terms of product/service quality, reduced cost and improved service to the customer (internal or external)

For both the exams and project a mark in excess of 50% is required to gain accreditation.

All examinations and projects will be assessed by our Master Black Belt trainer who has a PhD in Lean Six Sigma.

Rather than using case studies, during this two-week programme delegates are invited to bring real project data along with them - this helps to relate the training to real problems, and maximises the value of time spent away from the office.

This Six Sigma Black Belt Conversion training course is the second module in our Six Sigma Black Belt Training.

Delegates wishing to attend this Six Sigma Black Belt course who have not already achieved Green Belt level should first take our Lean Six Sigma Green Belt training course and complete a Six Sigma project before attending.

We also provide private and in-company Six Sigma Black Belt courses. Call +44 (0) 1273 622272 to discuss.

For more information about belt levels, download our free Six Sigma eBook.

Course Objectives

At the end of the intensive ten-day programme delegates will understand and be able to:

Apply the principles of the Six Sigma DMAIC performance improvement model
Establish the “Voice of the Customer” in defining the required performance standard
Use a number of measurement approaches and tools to establish current performance
Appropriately apply a number of advanced statistical analysis tools and techniques to establish the root cause of a problem
Recognise the difference in approach and techniques for incremental and redesign improvement strategies and know how to decide on the correct approach
Establish ongoing process controls and process governance structures
Use Minitab to provide data analysis and process capability

Lean Six Sigma Black Belt Training Course Content

Define - Week 1

Understanding Variability
Project Charter
Basic Statistics
QFD/VOC
COPQ
Process Maps

Measure - Week 1

Measurement Basics
Histograms
Equipment R & R/MSA
Scatter Plots
Sigma Levels & DPMO
Process Capability
Yield Calculation
Sampling Techniques
Confidence Intervals
Gauge R&R
Implementing the measurement
Data Collection
Brainstorming
FMEA

Analyse - Week 1 / Week 2

Data Analysis Pareto charts Frequency charts Run charts Variation
Process Mapping and Analysis Value Stream Analysis Complexity
Cause-Effect Diagram & 5 Why’s
Central Limit Theorem
Confidence Intervals
Capability Studies
Correlation
Regression
Design of Experiments (DoE) Full Factorial 2k Fractional Fractional Multi-Vari Correlation/Regression ANOVA Stratification Box Plots

Improve - Week 2

Hypothesis Testing T-Tests F-Tests ANOVA Chi Square
Selecting solutions
Developing solution options
FMEA risk analysis
DoE in Optimisation
Simulation
Remedy Selection Matrix

Control - Week 2

Mistake Proofing
Statistical Control
Variation
Control Charts
I, X Bar and R Charts
Response Charts
Process Scorecards

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