Lean Six Sigma Black Belt

Introducing our Lean Six Sigma Black Belt course, an extensive program tailored to provide learners with essential skills and methodologies required to initiate and support process improvement endeavors. This course integrates Lean manufacturing and Six Sigma principles to enhance process efficiency, minimize errors, and optimize organizational performance.

$177.44 $354.89 50% OFF


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Lean Six Sigma Black Belt

Course Instructor GreyCampus

$177.44 $354.89 50% OFF

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Course Overview

Our Lean Six Sigma Black Belt course provides a structured learning journey, guiding learners through advanced concepts and tools essential for process optimization and organizational transformation. Led by seasoned Lean Six Sigma experts, this course culminates in a final project where participants apply their knowledge to solve real-world business challenges.

Learning Experience

Tightly Planned Curriculum

Content is released in stages, guiding learners through each phase of Lean Six Sigma, ensuring a thorough understanding of the process improvement lifecycle.

Experienced Instructor

Learn from experienced instructors who provide personalized support, drawing on their industry experience to help learners succeed.

Certificate

Upon meeting course requirements, including a final project and assessment, participants receive a Lean Six Sigma Black Belt certification, validating their expertise in process improvement methodologies and enhancing their professional credentials.

Course Curriculum

1 Subject

Lean Six Sigma Black Belt

9 Exercises59 Learning Materials

Course Overview

Learning Objectives

Course Contents

Foundation

Lean Six Sigma Introduction

Six Sigma Overview

DMAIC Methodology

Lean Enterprise

End of Module Test

Exercise

Define

Define Phase Overview

Voice of Customer (VOC)

Critical to Quality (CTQ)

SIPOC

Stakeholder Analysis

Project Charter

End of Module Test

Exercise

Measure

Measure Phase Overview

As-is Process Review (Process Definition)

Data Collection and Analysis(Basic Statistics)

Data Accuracy & Precision(Measurement System Analysis-MSA)

Process Capability & Stability

End of Module Test

Exercise

Analyze

Analyze Phase - Overview

Patterns of Variation

Inferential Statistics

Hypothesis Testing

Hypothesis Testing with Normal Data

Hypothesis Testing with Non-normal Data

End of Module Test

Exercise

Improve

Improve Overview

Potential Solutions Generation

Lean Solutions/Tools

Mistake-Proofing

Select the Best Solution

Pilot Implementation

Simple Linear Regression

Multiple Regression Analysis (MRA)

Designed Experiments or Design of Experiments (DOE)

Full Factorial Experiments

Example-Create Factorial Design

External Link

Example-Analyze Factorial Design-V1

Example-Analyze Factorial Design-V2

Example-Analyze Factorial Design-V3

Example-Analyze Factorial Design-V4

Example-Factorial Plots

Example-Cube Plot

Example-Surface Plot

Example-Contour Plot

Example-Contour Plot of Cost

Example-Response Optimizer

Fractional Factorial Designs

Confounding effect

Experimental Resolutions

IP_EoM Summary

End of Module Test

Exercise

Control

Control Overview

Lean Controls

Statistical Process Control

Six Sigma Control plan

End of Module Test

Exercise

Value Adds

IASSC Reference Document

PDF

Class Deck

Define Phase

PDF

Measure Phase

PDF

Analyze Phase

PDF

Improve Phase

PDF

Control Phase

PDF

Simulated Exams

Simulated Exam 1

Exercise

Simulated Exam 2

Exercise

Simulated Exam 3

Exercise

Who Should Enroll:

This course is ideal for professionals from diverse industries, including manufacturing, healthcare, finance, and services, who are seeking to advance their careers and drive organizational excellence through Lean Six Sigma methodologies. Whether you're a quality manager, process improvement specialist, project manager, or aspiring leader, this course will empower you to lead transformative change initiatives and deliver measurable results.

                Ready to boost your skills and become a certified Lean Six Sigma Black Belt? Enroll now!