Class 1

Class 2

Class 3

Class 4

Class 5

Class 6

Class 7

Class 8

Class 9

Class 10

Defining a Process

Critical to Quality Characteristics (CTQ’s)

Cost of Poor Quality (COPQ)

Pareto Analysis (80:20 rule)

QFD and Kano Analysis

Project Management, CPM, PERT, Risk Analysis, Activity Network Diagram

Basic Six Sigma Metrics: including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics

Designs

Confounding Effects

Experimental Resolution

Six Sigma For Dummies

Download PPT

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

Building a Business Case & Project Charter

Developing Project Metrics

Financial Evaluation & Benefits Capture

Strategic planning and deployment for initiatives

Hoshin Kanri

Portfolio

SWOT

Understanding Lean

The History of Lean

Lean & Six Sigma

The Seven Elements of Waste: a. Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting

5S: Straighten, Shine, Standardize, Self-Discipline, Sort

Download Minitab and run a test to understand the working

Data simulation and project working over Minitab

Six Sigma Tools & Templates access and working

Cause & Effect / Fishbone Diagrams

Process Mapping, SIPOC, Value Stream Map

X-Y Diagram

Failure Modes & Effects Analysis (FMEA)

Basic Statistics

Descriptive Statistics

Normal Distributions & Normality

Graphical Analysis

Precision & Accuracy

Bias, Linearity & Stability

Gage Repeatability & Reproducibility

Variable & Attribute MSA

Multi-Vari Analysis

Classes of Distributions

Understanding Inference

Sampling Techniques & Uses

Central Limit Theorem

General Concepts & Goals of Hypothesis Testing

Significance; Practical vs. Statistical

Risk, Alpha & Beta

Types of Hypothesis Test

1 & 2 sample t-tests

1 sample variance

One Way ANOVA: a. Including Tests of Equal Variance, Normality Testing, and Sample Size calculation, performing tests and interpreting results.

Mann-Whitney

Kruskal-Wallis

Mood’s Median

Friedman

1 Sample Sign

1 Sample Wilcoxon

One and Two Sample Proportion

Chi-Squared (Contingency Tables): a. Including Tests of Equal Variance, Normality Testing, and Sample Size calculation, performing tests and interpreting results.

Correlation

Regression Equations

Residuals Analysis

Non- Linear Regression

Multiple Linear Regression

Confidence & Prediction Intervals

Residuals Analysis

Data Transformation, Box-Cox

DFSS History, Quality Concepts

Quality Tools Pareto Analysis

House of Quality, QFD & TRIZ

DFSS Deployment

DFSS Phases

DFSS Tasks

Design for DFX

Tolerance Settings

Validate the Design

Axiomatic Design

FMEA

Experimental Design

Design Optimization

Tolerance Design, Precision/Tolerance

Experiment Objectives

Experimental Methods

Experiment Design Considerations

2k Full Factorial Designs

Linear & Quadratic Mathematical Models

Balanced & Orthogonal Designs

Fit, Diagnose Model, and Center Points

Control Methods for 5S

Kanban

Poka-Yoke (Mistake Proofing)

TPM and Visual Factory

Data Collection for SPC

I-MR Chart

Xbar-R Chart

U Chart

P Chart

NP Chart

X-S chart

CumSum Chart

EWMA Chart

Control Chart Anatomy

Subgroups, Impact of Variation, Frequency of Sampling

Center Line & Control Limit Calculations

Cost-Benefit Analysis

Elements of the Control Plan

Elements of the Response Plan

Sample project work implementation and description by the trainer

CLSSBB Examination preparation and mock questions discussion

Lean Six Sigma Exam