Lean Six Sigma Green Belt Certification

I. Welcome

II. Introduction

III. Overview: Six Sigma and the Organization

• • The Basics of Six Sigma Six Sigma and Organizational Goals

• • • 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
    • 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

• • 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

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

• Six Sigma Statistics
  • Understanding the concepts of Basic Statistics
  • Understanding 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

VI. Analyze Phase (Process Analysis and Data Analysis)

• Patterns of Variation and Inferential Statistics
  • Multi-Vari Analysis
  • Classes of Distributions
  • 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

VII. Improve Phase

• Simple Linear Regression
  • Understanding the Correlation
  • Regression Equations and Residuals Analysis

• Multiple Regression Analysis
  • Non- Linear Regression
  • Multiple Linear Regression
  • Confidence & Prediction Intervals
  • Residuals Analysides
  • Experimental Methods

VII. Control Phase

• Lean Tools for Process Control
  • Control Methods for 5S
  • Kanban
  • Poka-Yoke (Mistake Proofing)

• Statistical Process Control (SPC)
  • 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
  • Understanding Control Methods
  • Understanding Six Sigma and Lean Control Plans.

Hardware

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

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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 us.

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.