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Six Sigma Lean Six Sigma Master Black Belt Certification

best practice Tests for Six Sigma Lean Six Sigma Master Black Belt Certification 2021

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A Certified Lean Six Sigma Black Belt holder possesses a thorough understanding of all aspects within the phases of D-M-A-I-C. They understand how to perform and interpret 6 Sigma black belt tools and how to use standard principles of Lean. The Certified Lean Six Sigma Black Belt (CLSSBB) is a professional who can explain Six Sigma philosophies and principles, including supporting systems and tools.

Who should take the exam?

Anyone who will be leading a Lean Six Sigma process improvement project or would like to master the principles involved to further their professional skills. It applies to staff, line supervisors, managers and directors in such areas as manufacturing, operations, customer service, engineering, IT, marketing, logistics, sales, quality, purchasing, health care, education, and health and safety, The certification is important to those who are a full time Project Managers.

Course Structure

The Certified Lean Six Sigma Black Belt (CLSSBB) Exam covers the following topics -

1. Section I – Organizational Roadblocks and Lean Management

• Organizational roadblocks

• Resistance Analysis

• Overview of all Continuous Improvement approaches

• Overview of Lean

• Overview of Six Sigma

• Lean Management explained — TAKT Time, Cycle Time, PCE, Lead Time, SWIP, Setup time, Changeover time

• Lean Tools explained — 5S, Kaizen, SMED, Heijunka

2. Section II – Pre-define DMAIC

• DMAIC versus DFSS

• Pre-define Pre-requisites and Qualifications

• Project Prioritization Matrix

• Introduction to Enterprise Wide view versus LOB view

• NPV and IRR

3. Section III – Measure

• Objectives of Measure Phase

• Types of Data and Data Distribution models (Normal, Binomial and Poisson Distribution discussed)

• Scales of Data

• Measures of Central Tendency

• Measures of Dispersion

• Measurement Systems Analysis

• Variables GAGE RR

• Attribute RR

• Stability Check — Importance of Stability

• Capability Check — Cp, Cpk, Cpkm explained, How to understand Attribute Capability

• Variations, Variability and Capability

• Graphical tools to understand Data distribution

• Understanding Weibull (2 Parameter, 3 Parameter and Rayleigh) Distribution

• Correlating Calculations to Business Measures

• Checking Normality of Data (Anderson Darling, Ryan Joiner and Kolmogorov Smirnov)

4. Section IV – Analyze

• Objectives of Analyze

• Simple Linear Regression

• Multiple Linear Regression

• Curvilinear Regression

• Fishbone Diagram

• Pareto Charts

• Demarcating Common Causes and Special Causes

• Hypothesis Tests (Parametric and Non-Parametric tests)

• Statistical Validation

5. Section V – Improve

• Objectives of Improve

• Cost Benefit Analysis

• Solutions Prioritization Matrix

• Pugh Matrix

• Design of Experiments

• Introduction to DOE

• Basics of DOE

• Replication, Randomization and Blocking

• Main Effects and Interaction effects

• Full factorial experiments

• Fractional factorial experiments

• Screened Designs

• Response Surface Designs

• DOE with Regression

• DOE with example

6. Section VI – Control

• Taguchi’s Loss Function

• Control Charts (Variable Control Charts and Attribute Control Charts)

• Measurement System Re-analysis

• Control Plan and Project Storyboard Transfer

• Project Closure

• Introduction to Total Productive Maintenance

• Lean Process Improvement

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