Lean Six Sigma Green Belt Training

Course Overview

Edukado Lean Six Sigma Green Belt course provides an overview of Six Sigma and lean   methodology including DMAIC and DFSS approach aligned to the leading Green Belt certifications at ASQ and IASSC. In this Lean Six Sigma Green Belt course, you will learn how to measure current performance to identify process, process mapping, process control issues and how to implement solutions.

Course Key Feature

Benefits

Lean Six Sigma positions you to lead six sigma projects and interpret data strategically with help of statistical tool create process mapping, risk management, and benchmark-setting skills. This Green Belt certification is highly valued in sectors including manufacturing, IT sector, hospitality and BPO.

Eligibility

Lean Six Sigma professionals are in high demand due to their ability to use problem-solving techniques to reach business solutions and improve the quality standards in process. This course integrates Lean and DMAIC methodologies as defined by IASSC using case studies and examples that help you to implement, perform, interpret, and apply Lean Six Sigma and a high level of proficiency.

Pre-requisites

There are no prerequisites for Edukado Six Sigma Green Belt online certification training.

Course Content

Module 00- course Introduction

• Lesson 00- Course introduction
  • 1 Course introduction

• Module 1- Six sigma and organisation

• Lesson 1.0- Introduction to six sigma and organisation Goals
• Lesson 1.2 – lean principles in the organization
• Lesson 1.3 – Design for six sigma
• Lesson 1.4 – summery to six sigma and organization

• Module 02- Define phase

• Lesson 2.0 – Introduction of define phase
• Lesson 2.1 – Project selection process
• Lesson 2.2 – Voice of customer ( VOC )
• Lesson 2.4 – Management and Tool
• Lesson 2.5 –Summery of define Phase

• Measure Phase 03- Measure Phase

• Lesson 3.0 – Introduction to Measure Phase
• Lesson 3.1 – Process analysis and Documentation
• Lesson 3.2 – Probability and Statistics
• Lesson 3.3 – Collecting and summarizing data
• Graphical techniques
• Introduction to MINITAB®
• Lesson 3.4 – Basics of Measurement system analysis ( MSA)
• Accuracy
• Precision
• Discrimination
• GR&R Studies
• Linearity
• Process Stability
• Lesson 3.5 – Process Capability
• DPMO
• DPU
• Sigma Level
• CP
• CPK
• Lesson 3.6 – Summery of Measure Phase

• Measure Phase 04- Analyze Phase

• Lesson 4.0 – Introduction to Analyze Phase
• Lesson 4.1 – Cause and Effect Diagrams
• Lesson 4.2 – Cause and Effect Matrix
• Lesson 4.3 – Introduction to Hypothesis Testing (Type I and Type II Errors)
• Lesson 4.4 – Correlation and Regression
• Lesson 4.5 – Compare Means, Variances and Proportions
• Lesson 4.6 – Lean Tools (5 Why Analysis)
• Lesson 4.7 – Summery of Analyze phase

• Module 05 – Improve Phase

• Lesson 5.0 – Introduction to Improve Phase
• Lesson 5.1 – Design of experiment ( DOE)
• Lesson 5.2 – Root cause Analysis ( Analyze)
• Lesson 5.3 – Lean tools
• Lesson 5.4 – Selecting a solution
• Lesson 5.5 – Summery Improve phase
• Lesson 5.6 – Project 1

• Module 06 – Control Phase

• Lesson 6.0 – Introduction to control Phase
• Lesson 6.1 – Statistical Process Control
• Lesson 6.2 – Lean Tools (Waste Elimination, Kaizen)
• Lesson 6.3 – Control Plan
• Lesson 6.4 – Solution Selection
• Lesson 6.5 – Summery of control phase

 Training Schedule