Home »SIX SIGMA GREEN BELT CERTIFICATION -CSSGB

Six Sigma Green Belt Certification – CSSGB Body of Knowledge (Training Syllabus)

With changing dynamics and growing demand to achieve excellence, reduce waste, decrease defects and enhance productivity, organizations worldwide seek professionals who understand the strategic objectives of businesses, critical requirements of day to-day business and operational goals.

SIX SIGMA is a highly disciplined process that helps us focus on developing and delivering near-perfect products and services. Organizations that have implemented SIX SIGMA or those who are employing SIX SIGMA Certified Professionals have seen drastic improvements in their quality, productivity and profitability. SIX SIGMA certified people are in high demand in all industries, especially in Banking, Retail, Logistics & SCM, Purchasing, Manufacturing, Shipping, Mining, Aerospace, Airports, etc.,

The Green Belt Lean Six Sigma Body of Knowledge™ is an assembly of a comprehensive set of topics and subject matters that are intended to be representations of the universally and commonly accepted, minimum competencies and core proficiencies requisite of Lean Six Sigma Green Belts.

This well-established Standard is diversely recognized as a relevant and practical version of the knowledge expectations of Lean Six Sigma Green Belt. It consists of the primary sections of Define, Measure, Analyze, Improve and Control, which are each broken down into sub-categories consisting of individual subject matter topics.

What will I learn?

After the completion of training, participants' will have clear understanding of the following issues and will be able to figure out:

 

  • How to measure global competitiveness?
  • How to enhance global competitiveness using Lean Six Sigma?
  • Principles and practices of Lean management.
  • Comprehensive understanding of Lean & Six Sigma?
  • How to select Lean Six Sigma projects?
  • How to implement Lean Six Sigma project using DMAIC Kaizen methodology?
  • How to launch Lean Six Sigma initiative in the organization?
  • What are the Lean Six Sigma Tools & Techniques?
  • How to Lead Future Lean Six Sigma Projects?
  • "Lean Six Sigma-Green Belt" certificate.

Target Audience

  • Quality professionals, Change agents, Functional Managers, Divisional Heads, Corporate Managers & Engineers working in manufacturing or service organizations.
  • Manufacturing industry professionals working in all basic functions of manufacturing; including Production Planning, Manufacturing Operations, Materials management, Maintenance Quality Management, Cost management, Logistics, Customer Service.
  • Service industry professionals from Healthcare, Education, IT enabled services, IT, Hospitality, Marketing, Communication etc., involved in service design, realization, delivery and backend support.

Universally Accepted Lean Six Sigma Body of Knowledge for Green Belts

1.0 Define Phase

1.1 The Basics of Six Sigma

1.1.1 Meanings of Six Sigma

1.1.2 General History of Six Sigma & Continuous Improvement

1.1.3 Deliverables of a Lean Six Sigma Project

1.1.4 The Problem Solving Strategy Y = f(x)

1.1.5 Voice of the Customer, Business and Employee

1.1.6 Six Sigma Roles & Responsibilities

1.2 The Fundamentals of Six Sigma

1.2.1 Defining a Process

1.2.2 Critical to Quality Characteristics (CTQ’s)

1.2.3 Cost of Poor Quality (COPQ)

1.2.4 Pareto Analysis (80:20 rule)

1.2.5 Basic Six Sigma Metrics

a. including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics and these metrics

1.3 Selecting Lean Six Sigma Projects

1.3.1 Building a Business Case & Project Charter

1.3.2 Developing Project Metrics

1.3.3 Financial Evaluation & Benefits Capture

1.4 The Lean Enterprise

1.4.1 Understanding Lean

1.4.2 The History of Lean

1.4.3 Lean & Six Sigma

1.4.4 The Seven Elements of Waste

a. Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting.

1.4.5 5S

a. Straighten, Shine, Standardize, Self-Discipline, Sort

 

2.0 Measure Phase

2.1 Process Definition

2.1.1 Cause & Effect / Fishbone Diagrams

2.1.2 Process Mapping, SIPOC, Value Stream Map

2.1.3 X-Y Diagram

2.1.4 Failure Modes & Effects Analysis (FMEA)

2.2 Six Sigma Statistics

2.2.1 Basic Statistics

2.2.2 Descriptive Statistics

2.2.3 Normal Distributions & Normality

2.2.4 Graphical Analysis

2.3 Measurement System Analysis

2.3.1 Precision & Accuracy

2.3.2 Bias, Linearity & Stability

2.3.3 Gage Repeatability & Reproducibility

2.3.4 Variable & Attribute MSA

2.4 Process Capability

2.4.1 Capability Analysis

2.4.2 Concept of Stability

2.4.3 Attribute & Discrete Capability

2.4.4 Monitoring Techniques

 

3.0 Analyze Phase

3.1 Patterns of Variation

3.1.1 Multi-Vari Analysis

3.1.2 Classes of Distributions

3.2 Inferential Statistics

3.2.1 Understanding Inference

3.2.2 Sampling Techniques & Uses

3.2.3 Central Limit Theorem

3.3 Hypothesis Testing

3.3.1 General Concepts & Goals of Hypothesis Testing

3.3.2 Significance; Practical vs. Statistical

3.3.3 Risk; Alpha & Beta

3.3.4 Types of Hypothesis Test

3.4 Hypothesis Testing with Normal Data

3.4.1 1 & 2 sample t-tests

3.4.2 1 sample variance

3.4.3 One Way ANOVA

a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

3.5 Hypothesis Testing with Non-Normal Data

3.5.1 Mann-Whitney

3.5.2 Kruskal-Wallis

3.5.3 Mood’s Median

3.5.4 Friedman

3.5.5 1 Sample Sign

3.5.6 1 Sample Wilcoxon

3.5.7 One and Two Sample Proportion

3.5.8 Chi-Squared (Contingency Tables)

a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

 

4.0 Improve Phase

4.1 Simple Linear Regression

4.1.1 Correlation

4.1.2 Regression Equations

4.1.3 Residuals Analysis

4.2 Multiple Regression Analysis

4.2.1 Non- Linear Regression

4.2.2 Multiple Linear Regression

4.2.3 Confidence & Prediction Intervals

4.2.4 Residuals Analysis

4.2.5 Data Transformation, Box Cox

5.0 Control Phase

5.1 Lean Controls

5.1.1 Control Methods for 5S

5.1.2 Kanban

5.1.3 Poka-Yoke (Mistake Proofing)

5.2 Statistical Process Control (SPC)

5.2.1 Data Collection for SPC

5.2.2 I-MR Chart

5.2.3 Xbar-R Chart

5.2.4 U Chart

5.2.5 P Chart

5.2.6 NP Chart

5.2.7 Xbar-S Chart

5.2.8 CumSum Chart

5.2.9 EWMA Chart

5.2.10 Control Chart Anatomy

5.3 Six Sigma Control Plans

5.3.1 Cost Benefit Analysis

5.3.2 Elements of the Control Plan

5.3.3 Elements of the Response Plan

 

© Laurels Training Institute 2017. All Rights Reserved.