Master Black Belt

Min₹ 75000 – Max₹ 150000

Course Overview:

Lean Six Sigma Master Black Belt (MBB) is a systematic study of the capacity to lead the Lean Six Sigma principles to propel the organization to its destination.

The Master Black Belt course is designed for professionals that hold:

Outstanding skills and expertise in service or industrial businesses that aim to be full Lean six sigma subject matter experts that lead productivity and performance excellence strategies across organizations and are looking for a career breakthrough.

Certified candidates will demonstrate their attained skills through deploying DMAIC projects, integrate LSS in teams’ day to day processes to advance performance and give cutting edge value to all data and would earn high recognition in the business market.

Who Can Enroll:
 The course is designed for current ASQ Certified Six Sigma Black Belt (CSSBB).

A competitor must have both accompanying experience levels.

At least 5 years of involvement with the part of a SSBB or MBB.

Course Features:

 Attaining CHOOLS Group FI professional Certification through achieving 80% in the exam included in the course and completing project in a manufacturing entity.
 Material and Handouts with Soft Copy included.
 Course cost cover training sessions, comprehensive notes set.
 Professionally planned, prepared, and presented.
 Guidelines and Support material is provided to all participants.
 Certificate of training completion.
 Support from subject matter experts.

Learning Outcome:

Learn the Advances LSS tools and methods applied during a Master Black Belt Project.

Hands-on simulations, exercises, and practice workshops of tools and methods used across the DMAIC methodology.

Advanced use of Minitab statistical software.

On Completing the course, you can Be assigned as a Full-time MBB, certified position with training, delivering a project, and delivering coaching reports.

You can be assigned job as

150 Question closed book exam: MBB Project Charter for certification.

Training certificate for course completion.

Master Black Belt Certification for Exam and Project completion.

Company Customized courses available.

Recommended coaching by LSSMBB

Why Choose Chools?

Access to:

• Top 100,000 Ebooks.
• 250,000 Management slides and presentations.
• 1 million excel templates.
• 60,000 business documents.

• 15,000 top books in abstract forms.
• 40,000 audio podcast.
• 550 audio library books.
• 50,000 video libraries.

• 1500 training courses.
• 2.6 million Journals and articles.
• 137 Lean Six Sigma toolkit.
• Leadership assessments.
• Quiz, Exam prep, Q&As, Case-studies.

Course Outline:

Week 1

Six Sigma Introduction

Six Sigma Project Definitions

Project Selection Process

Six Sigma Deployment

Process Mapping

Input Prioritization Tools

Failure Mode Effect Analysis

Minitab 17 Introduction

Measurement Systems

Capability Analysis

Sample Size Selection

Statistical Process Control

Process Control Plan

Integration of Lean

Project Plan & Deliverable

Project Reviews

Week 2

Week 1 Review in Class Project

Advanced Graphical Analysis

Multi-Vari Planning

Variation Trees and Funneling

Hypothesis Testing

Central Limit Theorem

Statistical Analysis Roadmap

Test for Mean with t-test


Non-manufacturing Applications

Correlation and Regression

Multi-Vari Analysis

Process Control Plan

Project Plan & Deliverable

Project Reviews

Week 3

Week 1 and 2 Review Project

Multiple Regression

Advanced Multi-Vari

Attribute Measurements

Attribute Measurement Systems

Sample Size Calculations

Six Sigma for Service

Managing Change

Introduction to DOE

Full Factorial Experiments

Full Factorial Simulations

Fractional Factorials Designs

DOE Sample Size Selection

In class DOE Project

Project Planning & Deliverables

Project Reviews Measurement

Week 4

Design of Experiments Review

Blocking in Experiments

General Factorial Experiments

Six Sigma Residual Analysis

Non-Normal Data – Transformations

Non-Normal Data in Experiments

Sequential Experimentation

Response Optimization Designs

Multiple Response Optimization

Transactional Improvements

Simulations for Improvement

Applied Experimentation

Statistical Process Control

Mistake Proofing

Control Methods

Project Closure and Synergy

Week 5 & 6


Non-parametric analysis

Destructive testing

Multi-vari experiments

Practical experimentation

Handling attribute responses

Optimization experiments

Advanced regression methods

Handling multi-response experiments

Distributional analysis

Advanced SPC methods

Class Project

Project Reviews

Final Exam

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