# Lean Six Sigma Black Belt

The IASSC Certified Lean Six Sigma Black Belt™ (ICBB™) is a professional who is well versed in the Lean Six Sigma Methodology, who leads complex improvement projects, typically in a full-time capacity. A Lean Six Sigma Black Belt possesses a thorough understanding of all aspects of the Lean Six Sigma Method including a high-level of competence in the subject matters contained within the phases of Define, Measure, Analyze, Improve and Control (DMAIC) as defined by the IASSC Lean Six Sigma Black Belt Body of Knowledge™.

- IASSC Certified
- 12 Days Program
- 4 hours exam – 150 MCQ & True/False Questions
- 80% to Pass Exam

- TO BE CONFIRMED SOON
- Please contact us directly for more details

## DAY1

**DAY 1**

**Define Phase**

The Basics of Six Sigma

Meanings of Six Sigma

General History of Six Sigma & Continuous Improvement

Deliverables of a Lean Six Sigma Project

The Problem Solving Strategy Y = f(x)

Voice of the Customer, Business and Employee

Six Sigma Roles & Responsibilities

The Fundamentals of Six Sigma

Defining a Process

Critical to Quality Characteristics (CTQ’s)

Cost of Poor Quality (COPQ)

Pareto Analysis (80:20 rule)

Basic Six Sigma Metrics

Selecting Lean Six Sigma Projects

Building a Business Case & Project Charter

Developing Project Metrics

Financial Evaluation & Benefits Capture

Strategies of Implementing Lean and Six Sigma in an

organization

Difference and Similarities between Lean and Six Sigma

An example of implementing Six Sigma for the whole enterprise.

Other Models of Implementing Six Sigma

Lean and Six Sigma Implementation Case Study

Project Charter Case Study

## DAY2

**DAY 2, 3, & 4**

**Measure Phase**

Process Definition

Cause & Effect / Fishbone Diagrams

Process Mapping, SIPOC, Value Stream Map

X-Y Diagram

Failure Modes & Effects Analysis (FMEA)

Introduction to Minitab

Six Sigma Statistics

Basic Statistics

Descriptive Statistics

Normal Distributions & Normality

Graphical Analysis

Measurement System Analysis

Precision & Accuracy

Bias, Linearity & Stability

Gage Repeatability & Reproducibility

Variable & Attribute MSA

Process Capability

Capability Analysis

Concept of Stability

Attribute & Discrete Capability

Monitoring Techniques

Measurement System Analysis Case Study

Micro Process Map Case Study

## DAY3

**DAY 5, 6, & 7**

**Analyze Phase**

Patterns of Variation

Multi-Vari Analysis

Classes of Distributions

Inferential Statistics

Understanding Inference

Sampling Techniques & Uses

Central Limit Theorem

Hypothesis Testing

General Concepts & Goals of Hypothesis Testing

Significance; Practical vs. Statistical

Risk; Alpha & Beta

Types of Hypothesis Test

Hypothesis Testing with Normal Data

1 & 2 sample t-tests

1 sample variance

One Way ANOVA

Tests of Equal Variance, Normality Testing and Sample

Size calculation performing tests and interpreting results.

Hypothesis Testing with Non-Normal Data

Mood’s Median

Mann-Whitney

Kruskal-Wallis

Friedman

1 Sample Sign

1 Sample Wilcoxon

One and Two Sample Proportion

Chi-Squared (Contingency Tables)

## DAY4

**DAY 8, 9, & 10**

**Improve Phase**

Simple Linear Regression

Correlation

Regression Equations

Residuals Analysis

Multiple Regression Analysis

Non- Linear Regression

Multiple Linear Regression

Confidence & Prediction Intervals

Residuals Analysis

Designed Experiments

Experiment Objectives

Experimental Methods

Experiment Design Considerations

Full Factorial Experiments

2k Full Factorial Designs

Linear & Quadratic Mathematical Models

Balanced & Orthogonal Designs

Fit, Diagnose Model and Center Points

Fractional Factorial Experiments

Designs

Confounding Effects

Experimental Resolution

## DAY5

**DAY 11 & 12**

**Control Phase**

Lean Enterprise

Understanding Lean

The History of Lean

Lean and Six Sigma

The Seven Elements of Waste

5S

Poka-Yoke (Mistake Proofing)

Statistical Process Control (SPC)

Data Collection for SPC

I-MR Chart

Xbar-R Chart

U Chart

P Chart

NP Chart

X-S chart

CumSum Chart

Control Methods

Control Chart Anatomy

Subgroups, Impact of Variation, Frequency of Sampling

Center Line & Control Limit Calculations

Six Sigma Control Plans

Cost Benefit Analysis

Elements of the Control Plan

Elements of the Response Plan

## What are the course objectives?

- Learn the basic definitions and terminologies of Lean Six Sigma System.
- Able to visualize how Lean Six Sigma is deployed within an organization and understand why it’s a proven methodology that helps to save cost while improving quality and sustaining the success.
- Learn the five phases of a Lean Six Sigma initiative: Define Phase, Measure Phase, Analyze Phase, Improve Phase and the Control Phase.
- Exposed to a case study of a real Lean Six Sigma project to assist in visualizing the Define, Measure, Analyze, Improve and Control phases of a project.
- Learn how to use Minitab (version 17), a statistical software widely used around the world to analyze data.
- Experience handling a few projects/case study by collecting data to gather real experience in using some statistical tools.
- Learn a variety of statistical tools and understand how to use them at the different phases of a Lean Six Sigma project.
- Able to differentiate between Lean and Six Sigma and show why Lean and Six Sigma methodologies are dependent on one another and a proven strategic system for managing the whole supply chain of a business.
- Learn the importance of Change Management in relations to Six Sigma Quality Management.
- Exposed to the idea of how Six Sigma can be implemented within an organization.
- To identify process owners, internal and external customers, and other stakeholders in a project.

## Who should take the course?

- Managers
- Project Leaders
- Senior Engineers
- Green Belt Candidates and anyone who desires an understanding of Lean Six Sigma principles and skills.
- No previous Six Sigma and Lean experience is required.
**Do I need to conduct a project to be certified?**

No. However, in the absence of conducting a project, participants will be the assigned hands-on case study. This case studies will enable the participants to collect data and apply the statistical tools to gain an experience similar to conducting a project. Although these case studies cannot substitute the knowledge gained by doing an actual project, the simulation experienced through these case studies will play a role close enough to conducting an actual project. The following Case Studies will be assigned:

Preparation of a Project Charter Case Study

Developing a Micro Process Map Case Study

Measurement System Analysis Case Study.

## Who is your trainer for the program?

- Dr. Anbaratnam

## We offer the following options:

- Cash
- HRDF Claimable
- Maybank Ezpay (Up to 24 months @ 0% Interest)
- CIMB Easy Pay (Up to 12 months @ 0% Interest)
- Cash Installment (Case by case basis)