Lean Six Sigma Black Belt Certification

I. Welcome

II. Introduction

III.Overview: Six Sigma and the Organization

• The Basics of Six Sigma Six Sigma and Organizational Goals

1. • Meanings and Value 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

1. • Understanding Six Sigma Fundamentals
   • Defining a Process and identify process input and output variables
   • Critical to Quality Characteristics (CTQ’s) and Cost of Poor Quality (COPQ)
   • Pareto Analysis (80:20 rule) and Basic Six Sigma Metrics

IV. Define Phase (Project Identification and Project Management Basics)

• Identification of Lean Six Sigma Projects

1. • Describe the project selection process and what factors should be considered in deciding problem-solving process.
   • Building a Business Case & Project Charter
   • Developing Project Metrics
   • Financial Evaluation & Benefits Capture

• The Lean Enterprise

1. • Understanding Lean and describe lean concepts
   • The History of Lean
   • Lean & Six Sigma
   • The Seven Elements of Waste and 5S Methodology

V. Measure Phase (Process Analysis, Documentation and Performance)

• Process Definition

1. • Cause & Effect / Fishbone Diagrams
   • Process Mapping, SIPOC, Value Stream Map
   • Understanding X-Y Diagram
   • Failure Modes & Effects Analysis (FMEA)

• Six Sigma Statistics

1. • Understanding the concepts of Basic Statistics
   • Understanding Descriptive Statistics
   • Normal Distributions & Normality
   • Graphical Analysis

• Measurement System Analysis

1. • Precision & Accuracy
   • Bias, Linearity & Stability
   • Gage Repeatability & Reproducibility
   • Variable & Attribute MSA

• Process Capability

1. • Capability Analysis
   • Concept of Stability
   • Attribute & Discrete Capability
   • Monitoring Techniques

VI. Analyze Phase (Process Analysis and Data Analysis)

• Patterns of Variation and Inferential Statistics

1. • Multi-Vari Analysis
   • Classes of Distributions
   • Understanding Inference
   • Sampling Techniques & Uses
   • Central Limit Theorem

• Hypothesis Testing

1. • General Concepts & Goals of Hypothesis Testing
   • Significance; Practical vs. Statistical
   • Risk; Alpha & Beta
   • Types of Hypothesis Test

• Hypothesis Testing with Normal Data

1. • Measuring and Modeling relationships Between Variables
   • Understanding 1 & 2 sample t-tests
   • Sample variance
   • One Way ANOVA

• Hypothesis Testing with Non-Normal Data

1. • Hypothesis Testing Roadmap
   • Common Pitfalls to Avoid
   • Additional Analysis Methods

VII. Improve Phase

• Simple Linear Regression

1. • Understanding the Correlation
   • Regression Equations and Residuals Analysis

• Multiple Regression Analysis
  • Non- Linear Regression
  • Multiple Linear Regression
  • Confidence & Prediction Intervals
  • Residuals Analysis
  • Experimental Methods
  • Confidence & Prediction Intervals
  • Design of Experiments (DOE)
  • DOE Models vs. Physical Models

VIII. Control Phase

• Lean Tools for Process Control

1. • Control Methods for 5S
   • Kanban
   • Poka-Yoke (Mistake Proofing)

• Statistical Process Control (SPC)

1. • Describe the theory and objectives of SPC
   • Define and distinguish between common and special cause variation
   • Variation deduction from control chart analysis
   • Data Collection for SPC and Understanding Control Methods
   • Understanding Six Sigma and Lean Control Plans
   • Understand and use different Control Charts

• Other Controls

1. • Define the elements of TPM and describe how it can be used to consistently control the improved process.

• Sustain Improvements

• • • Document the lessons learned from project and identify how improvements can be replicated and applied to other processes in the Organization.
    • Training for process owners and staff
    • Identify and apply tools (e.g., control charts, control plans) for ongoing evaluation of the improved process

Hardware

• PC, Mac, AKREDITAS learning app or mobile device running iOS or Android
• Audio speakers or headset
• High-speed internet connection

Browsers for AKREDITAS Courses

You can view courses on any devices that support these browsers. This includes mobile devices such as iPhones, iPads, and Android-enabled phones and tablets.

• Windows: Internet Explorer 11, Microsoft Edge (latest version), Google Chrome (latest version), Firefox (latest version)
• Mac: Safari (latest version), Google Chrome (latest version), Firefox (latest version)
• Mobile: Safari in Apple iOS 10 or later, Google Chrome in Apple iOS 10 or later, Google Chrome in Android OS 4.4 or later

Required Browser Settings for Viewing Courses

• JavaScript must be enabled for published courses to work.
• Font downloads must be enabled to see the correct fonts and characters.
• When using Internet Explorer, turn off Compatibility View for sites where courses are hosted.
• Deactivate any pop-up blockers, spam filters, and company firewalls that could interfere with access to the e-learning.
• Third-party toolbars such as Bing, Yahoo, and Google should also be disabled due to their own pop-up blocking capabilities.

Accessing Your E-learning

After registration, you will receive an email with access instructions. If you do not, please check your email junk, spam, or clutter folders. If the email is not there, please contact 

We will refund you in full if you cancel your course within 15 calendar days of purchase and if no more than one module (also called “topic”), or online Knowledge Check in the course has been accessed. If more than one module or online Knowledge Check in the course is accessed, or if a PDF within the course is accessed, no refund will be provided even within 30 calendar days of purchase.

Note for corporate clients: Please contact your regular Channel Manager to confirm your contractual terms.