Lean Six Sigma Green Belt by GreyCampus

LSSGB

What you'll learn

Thorough understanding of most aspects of the Lean Six Sigma Method

High-level competence in subject matters within DMAIC phases

Adherence to IASSC Lean Six Sigma Green Belt Body of Knowledge

Ability to implement Lean Six Sigma with a high level of proficiency

Proficient in performing, interpreting, and applying Lean Six Sigma principles

Requirements

There are no pre requisites to do this course. Anyone who wants to gain knowledge in Lean Six Sigma and the DMAIC methodology can take up this course.

Description

Lean Six Sigma Green Belt Training & CertificationGreen belt level training geared towards enabling advanced expertise in Lean Six Sigma. The course is accredited by IASSC*, and aligned to IASSC's Lean Six Sigma Green Belt Body of Knowledge.1. Course OverviewLearning ObjectivesIASSC LSSGB CertificationCourse Contents2. FoundationLean Six Sigma IntroductionSix Sigma OverviewDMAIC MethodologyLean Enterprise3. DefineDefine Phase OverviewVoice of Customer (VOC)Critical to Quality (CTQ)SIPOCStakeholder AnalysisProject Charter4. MeasureMeasure Phase OverviewAs-is Process Review (Process Definition)Data Collection and Analysis (Basic Statistics)Data Accuracy and Precision (Measurement System Analysis-MSA)Process Capability and Stability5. Analyze• Analyze Phase - Overview• Patterns of Variation• Inferential Statistics• Hypothesis Testing• Hypothesis Testing with Normal Data• Hypothesis Testing with Non-normal Data• End of Analyze Phase Module: Summary6. Improve• Improve Overview• Potential Solutions Generation• Lean Solutions/Tools• Mistake-Proofing• Select the Best Solution• Pilot Implementation• Simple Linear Regression• Multiple Regression Analysis (MRA)7. ControlControl OverviewLean ControlsStatistical Process ControlSix Sigma Control planSimulated Exams3 simulated exams to help you experience the type of questions you would actually get in your IASSC certification exam. These are available in the Online Learning Platform and include fully worked-out solutions.

Overview

Section 1: Course Overview

Lecture 1 Learning Objectives

Lecture 2 Course Contents

Section 2: Foundation

Lecture 3 Lean Six Sigma Introduction

Lecture 4 Lean Six Sigma and Process Issues

Lecture 5 Six Sigma Overview

Lecture 6 Foundation - Introduction

Lecture 7 DPMO and Z score

Lecture 8 Example 1 DPMO & Z score

Lecture 9 Example 2 DPMO and Z score

Lecture 10 1.5 Sigma Shift

Lecture 11 History of Six Sigma

Lecture 12 History of Continuous Improvement

Lecture 13 Six Sigma Organization

Lecture 14 DMAIC Methodology

Lecture 15 Lean Enterprise

Section 3: Define

Lecture 16 Define Phase Overview

Lecture 17 Voice of Customer (VOC)

Lecture 18 Critical to Quality (CTQ)

Lecture 19 SIPOC

Lecture 20 Stakeholder Analysis

Lecture 21 Project Charter

Section 4: Measure

Lecture 22 Measure Phase Overview

Lecture 23 As-is Process Review (Process Definition)

Lecture 24 Process Map Overview-1

Lecture 25 Data Collection and Analysis (Basic Statistics)

Lecture 26 Data Accuracy and Precision (Measurement System Analysis-MSA)

Lecture 27 Process Capability and Stability

Section 5: Analyze

Lecture 28 Analyze Phase - Overview

Lecture 29 Patterns of Variation

Lecture 30 Inferential Statistics

Lecture 31 Hypothesis Testing

Lecture 32 Hypothesis Testing with Normal Data

Lecture 33 Hypothesis Testing with Non-normal Data

Section 6: Improve

Lecture 34 Improve Overview

Lecture 35 Potential solutions generation

Lecture 36 Lean Solutions/Tools

Lecture 37 Mistake-Proofing

Lecture 38 Select the Best Solution

Lecture 39 Pilot Implementation

Lecture 40 Simple Linear Regression

Lecture 41 Multiple Regression Analysis (MRA)

Section 7: Control

Lecture 42 Control Overview

Lecture 43 Lean Controls

Lecture 44 Statistical Process Control

Lecture 45 Six Sigma Control plan

Section 8: Class Deck

Lecture 46 Define Phase

Lecture 47 Measure Phase

Lecture 48 Analyze Phase

Lecture 49 Improve Phase

Lecture 50 Control Phase

Section 9: Simulated Exams

People working in the Quality Management domain. Example- Quality System Managers, Engineers, Supervisors, Analysts, Auditors, Yellow Belts etc.