The Lean Six Sigma Black Belt training and certification course is designed to help you master the combined concepts of Lean and Six Sigma. This course will help you develop an in-depth understanding of the Six Sigma phases Define, Measure, Analyze, Improve, and Control (DMAIC) and how to maximize customer value while minimizing waste.

This course consists of self-paced learning and live virtual classroom

Prerequisites

There are no prerequisites required to sit for the IASSC Certified Lean Six Sigma Black Belt exam. Formal Lean Six Sigma training from a verified Lean Six Sigma trainer or corporate program is suggested if applicants want to increase their chances of passing the exam. It is also recommended that exam takers have some degree of real-world Lean Six Sigma work experience.

Target Audience

Senior management (especially if the company intends to implement Lean Six Sigma)

Team leaders

Software professionals

Project managers

Quality assurance engineers

Software quality assurance team members

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Key Learning Outcomes

At the end of Lean Six Sigma Black Belt training, you will know how to:

Apply Lean concepts such as 5S, waste reduction, process mapping, value stream mapping, and mistake proofing

Apply basic and more advanced statistical analyses to determine the relationship between key inputs and process outputs

Effectively manage team dynamics and understand how to work with multiple levels of leadership to remove barriers and achieve project success

Close projects and hand over control to process owners

Present projects to instructors, peers, and managers

Course Curriculum

Lesson 01 - Six Sigma Black Belt

Welcome

Six Sigma Black Belt

Agenda

What is SSBB

Accreditation Institute

Target Audience

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LSSBB Course Offer

Thank You

Lesson 02 - Overview

Welcome

Overview

Agenda

Lesson 03 - About LSSBB

Agenda

What is Six Sigma

Six Sigma Roles and Responsibilities

About SSBB

LSSBB Roles and Responsibilities

Summary

Lesson 04 - Organizational Roadblocks

Agenda

Traditional Organization versus Customer Driven Organization

Types of Organizational Roadblocks

Change Resistance Curve

Common Resistance Points

Overcoming Resistance Points

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Force Field Analysis

Lesson 05 - Role of Communication and Selection Criteria in Black Belt

Agenda

Black Belt Role Summary

Black Belt Communication Expectations

Black Belt Selection Criteria

Summary

Lesson 06 - Overview of Continuous Improvement

Agenda

Continual Improvement Process

Continuous versus Continual Improvement

Kaizen Continual Improvement

Summary

Lesson 07 - Lean: An Overview

Agenda

What is Lean

History of Lean

Principles of Lean

Key Benefits of Implementing Lean

Why Lean before Six Sigma

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Lesson 08 - Lean Concepts Explained

Agenda

Warusa Kagen

Ms

Types of Waste (TIMWOODS)

Mottainai

Hoshin Kanri

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Cycle Time

Lead Time

Lead Time Assignment

Production Cycle Efficiency

Batch Size

Every Part Every Interval (EPEI)

EPEI Calculation Spreadsheet

Batch Size Assignment

Crew Size

Crew Size Assignment

Standardized Working Progress (SWIP)

Summary

Lesson 09 - Lean Tools Explained

Agenda

3S

3S Audit Worksheet

SMED

Heijunka

Heijunka An Example

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Value Stream Mapping(VSM)

VSM Symbols

Summary

Quiz

Thank You

Lesson 10 - DFSS, Pre-define and Define (DMAIC)

Welcome

Agenda

FSS Pre Define and Define (DMAIC)

FSS Design for Six Sigma and DMAIC versus DFSS

Agenda

Design for Six Sigma (DFSS)

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MAIC Approach to Problem Solving

DMAIC versus DFSS

DFSS Tools

Toll Gate Review

Benchmarking

MSA

VOC

Needs Vs Requirements

KJ Diagram

Quality Function Deployment (QFD)

Kano Model

HOQ

AHP

Pugh Matrix for Concept Selection

Sample Pugh Matrix

Monte Carlo Simulation

Design for X

Summary

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Lesson 12 - Define

Agenda

Define Key Objectives

Voice of Customer

Voice of Business

Voice of Process

VOC VOB and VOP

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Assignment

Translation to Project Y

Quality Function Deployment

Quality Function Deployment An Example

Process Map

Y Baseline Performance

SIPOC

Project Charter

The Problem Statement and the Goal Statement

RACI Matrix

Business Metrics

Project Deliverables

Project Scheduling

Team Selection

Define Roles and Responsibilities

Define Tools Summary

Lesson 13 - Summary

Quiz

Thank you

Lesson 14 - Measure

Measure

Introduction to Measure

Agenda

Pre Measure Considerations and Tools

Agenda

Define Phase Tollgate Review

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Cause and Effect Matrix (CE Matrix)

Summary

Types of Data and Measurement Scales

Agenda

Objectives of Measure Phase

What is a Process

Flowcharts

SIPOC

Metrics

Measurement Scales

Types of Data

Summary

Central Tendency and Dispersion

Agenda

Central Tendency and Dispersion Introduction

Mean

Mean (Cont.)

Median

Mode

Range

Variance

Standard Deviation

Mean Deviation

Summary

Measurement System Analysis

Agenda

Purpose of Measurement System Analysis

Measurement System Errors

Properties of Good Measurement Systems

Measurement System Errors Illustrated

Measurement System Discrimination

Bias

Measurement System Analysis Process Flow

Part Variation

Measurement System Analysis Formulas

Measurement Systems Analysis Example

Measurement Systems Analysis Graphs

Assignment

Attribute RR

When to Do Measurement System Analysis

Data Collection Plan

Data Collection Plan Template and Example

Summary

Stability Conditions

Agenda

Controlled Process and Variation

Special Causes of Variation

Common Causes of Variation

Stability Introduction and SPC

Stability Check with Minitab

Stability Check using Run Charts

Stability Conditions

Central Limit Theorem

Summary

Summary

Agenda

Process Capability Pre Considerations

Process Capability Indices for Continuous Data

Process Capability Indices Interpretation

Process Capability for Discrete Data

Non Normal Capability Analysis

Assignment

Summary

Variations Variability Capability and Process Conditions

Agenda

Variations and Variability

Capability and Process Conditions

Summary

Data Distributions

Agenda

Permutations and Combinations

Frequency and Cumulative Distributions

Binomial Distribution

Poisson Distribution

Normal Distribution

Exponential Distribution

Summary

Sigma Shift Mean Shift and Reducing Variations

Agenda

Sigma Shift

Mean Shift or Reducing Variations

Baseline Data

Summary

Measure Phase Summary

Measure Activity Summary

Measure Tools Summary

Quiz

Thank You

Lesson 15 - Overview

Welcome

Analyze

Agenda

Lesson 16 - Pre Analyze Considerations

Agenda

Analyze Phase Introduction

Pre Analyze Considerations

Objectives of Analyze

Visually Displaying Data

Summary

Lesson 17 - Value Stream Analysis

Agenda

Value Waste and NVA Activities

What is a Value Stream

Value Stream Example

Value Stream Analysis Muda

Value Stream Map

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Spaghetti Chart As Is

Spaghetti Chart Should Be

Summary

Lesson 18 - Sources of Variation

Agenda

Sources of Variation

Cause and Effect Diagram

Affinity Diagram

Box Plot

Summary

Lesson 19 - Regression

Agenda

Objectives of Regression Analysis

Concepts of Regression Analysis

Simple Linear Regression

Multiple Linear Regression

Best Subsets Regression and Stepwise Regression

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Lesson 20 - Confidence Intervals

Agenda

Concepts of Confidence Intervals and Confidence Intervals Testing

Confidence Intervals for Difference between Two Means

Confidence Intervals Working

Confidence Intervals Impactors

Chi Square Confidence Intervals for Variances

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Chi Square and Probability

T Distribution Confidence Intervals

Summary

Lesson 21 - Parametric Hypothesis Testing

Agenda

Hypothesis Testing Objective

Hypothesis Testing Concepts

Null and Alternate Hypothesis

Type Error

Type II Error

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β and Power

P Value, and Acceptance and Rejection Conditions

Sample Size Determination for Tests

Sample z Test

Test of Equality of Variances

Sample t Test

Paired T Test

ANOVA

One Way ANOVA

Two Way ANOVA with Replication

Summary

Lesson 22 - Nonparametric Hypothesis Testing

Agenda

Nonparametric Testing Conditions

Mann Whitney Test

Sample Sign

Wilcoxon Sign Rank Test

Kruskal Wallis

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Friedman ANOVA

Summary

Lesson 23 - Analyze Additionals Categorical Data and Current Reality Tree

Agenda

Categorical Data Analysis

Current Reality Tree

Summary

Activity Summary Analyze

Tools Summary Analyze

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Thank You

Lesson 24 - Improve

Welcome

Section v Improve

Agenda

Lesson 25

Agenda

Pre Improve Considerations

Model Adequacy Checking

Multi Vari Charts

M Tools

Activity Network Diagram

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Porter’s Five Forces

Pugh Analysis

Lean S

Summary

Lesson 26 - Design of Experiments Theory

Agenda

Introduction to DOE

Types of Designed Experiments

Main and Interaction Effects

Replication

Randomization

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Confounding

Coding and other DOE Terms

Sum of Squares Analysis

Summary

Lesson 27 - Design of Experiments Practice

Agenda

Introduction to Factor Factorial Design

2² Design

2² Design Summary

General k Design

Single Replicate of k Design

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Quarter Fractional k- Design

k Factorial Design

Response Surface Designs

Nested Designs

Split Plot Designs Introduction

Taguchi's Designs

Taguchi's L Design

Taguchi's L Design Graphs

Plackett Burman's Design

Quality Function Deployment (House of Quality)

Summary

Lesson 28 - Brainstorming Solutions Prioritization and Cost
Benefit Analysis

Agenda

Brainstorming

Multi Voting

Brainstorming Prioritization and Cost Benefit Analysis

Poka Yoke

Summary

Lesson 29 - Piloting Validating and FMEA

Agenda

Pilot Solutions

Piloting Tools

Paired t Test

Paired t Test Interpretations

Improve Next Steps

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Summary

Improve Activity Summary

Quiz

Thank You

Lesson 30 - Control

Welcome

Section VI Control

Agenda

Lesson 31 - Pre Control Considerations

Agenda

Pre Control Considerations

Assessing the Results of Process Improvement

Rational Subgrouping

Summary

Lesson 32 - Variables and Attributes Control Charts

Agenda

Concepts of Variables Control Charts

Variables Control Charts

EWMA Charts

Cusum Charts

Attribute Control Charts

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Lesson 33 - Measurement System Analysis Control Plan and Project Closure

Agenda

Concepts of Variables Control Charts

Variables Control Charts

EWMA Charts

Cusum Charts

Attribute Control Charts

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Lesson 34 - Introduction to Total Productive Maintenance