Lean Six Sigma Black Belt Certification in US

Introduction to Six Sigma

General History of Six Sigma and Continuous Improvement

Deliverables of a Lean Six Sigma Project

The Problem-Solving Strategy

Voice of the Customer, Business, and Employee

Six Sigma Roles and Responsibilities

Defining a Process

Critical to Quality Characteristics (CTQs)

Cost of Poor Quality (COPQ)

Pareto Analysis (80:20 rule)

Basic Six Sigma Metrics

Creating a Business Case and Project Charter

Developing Project Metrics

Financial Evaluation and Benefits Capture

Understanding Lean

History of Lean

Seven Elements of Waste; Overproduction, Correction, Inventory,

Motion, Overprocessing, Conveyance, Waiting

5S; Straighten, Shine, Standardise, Sell-Discipline and Sort

Cause and Effect / Fishbone Diagrams

Process Mapping, SIPCO, Value Stream Map

X - Y Diagram

Failure Modes and Effects Analysis (FMEA)

Precision and Accuracy

Bias, Linearity, and Stability

Gage Repeatability and Reproductivity

Variable and Attribute MSA

Basic Statistics

Descriptive Statistics

Normal Distributions and Normality

Graphical Analysis

Multi-Vari Analysis

Classes of Distributions

Understanding Inference

Sampling Techniques and Uses

Central Limit Theorem

General Concepts and Goals of Hypothesis Testing

Significance; Practical vs Statistical

Risk; Alpha and Beta

Types of Hypothesis Tests

1 and 2 Sample T-Tests

1 Sample Variance

One Way Analysis of Variance (ANOVA)

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)

Performing Tests and Interpreting Results

Correlation

Regression Equations

Residual Analysis

Non-Linear Regression

Multiple Linear Regression

Confidence and Prediction Intervals

Residual Analysis

Data Transformation, Box-Cox

Experiment Objectives

Experimental Methods

Experiment Design Consideration

2K Full Factorial Designs

Linear and Quadratic Mathematical Models

Balanced and Orthogonal Designs

Fit, Diagnose Model, and Center Points

Confounding Effects

Experimental Resolutions

Control Methods for 5S

Kanban

Poka-Yoke (Mistake Proofing)

Data Collection for SPC

I-MR Chart

Xbar-R Chart

U Chart

P Chart

NP Chart

X-S Chart

CUSUM Chart

EWMA Chart

Control Methods

Control Chart Anatomy

Subgroups, Impact of Variation, Frequency of Sampling

Center Line and Control Limit Calculations

Cost-Benefit Analysis

Elements of the Control Plan

Elements of the Response Plan