Lean Six Sigma Green Belt

The IASSC Certified Lean Six Sigma Green Belt™ (ICGB™) is a professional who is well versed in the core to advanced elements of Lean Six Sigma Methodology, who leads improvement projects and / or serves as a team member as a part of more complex improvement projects lead by a Certified Black Belt, typically in a part-time role. A Lean Six Sigma Green Belt possesses a thorough understanding of all aspects of the Lean Six Sigma Method including competence in subject matters contained within the phases of Define, Measure, Analyse, Improve and Control (DMAIC) as defined by the IASSC Lean Six Sigma Green Belt Body of Knowledge™.

Course Features

  • IASSC Certified
  • 5 Days Program
  • 3 hours exam – 100 MCQ Questions
  • 77% to Pass Exam

Course Schedule

august, 2019

No Events

Course Outline

1.0 Introduction: Overview of Six Sigma

Value of Six Sigma

Recognize why organizations use Six Sigma and understand the origins of Six Sigma.

Organizational Drivers and Metrics

Recognize key drivers for business (profit, market share, customer satisfaction, efficiency, product differentiation) and how key metrics and scorecards are developed and impact the entire organization.

2.0 Six Sigma—Define

Process Elements

Define and describe SIPOC

Owners and Stakeholders

Identify process owners, internal and external customers, and other stakeholders in a project.

Identify Customers and Customer Segmentation

Identify and classify internal and external customers as applicable to a particular project, and show how projects impact customers.

Collect and Classify Customer Data

VOC, Survey Methods, Kano Analysis.

Translate Customer Requirements

Translate customer feedback into project goals and objectives, including critical to quality (CTQ) attributes and requirements statements. Use of Quality Function Deployment (QFD) to translate customer requirements into performance measures.

Project Identification and Planning Tools

Define, select, and use:

  1. Affinity Diagrams
  2. Interrelationship Digraphs
  3. Tree Diagrams
  4. Prioritization Matrices
  5. Matrix Diagrams
  6. Process Decision Program (PDPC) Charts
  7. Activity Network Diagrams – Gantt Charts, PERT and CPM.

Organizational Goals and Six Sigma Projects

Describe the project selection process including knowing when to use Six Sigma DMAIC methodology.

Project Charter and Project Metrics

Define and describe elements of a Project Charter. Development of metrics – COQ, DPU, DPMO, RTY.

Team Stages and DMAIC

Define and describe the stages of team evolution, including forming, storming, norming, performing, adjourning, and connectivity with DMAIC.

Six Sigma – Team Roles and Responsibilities

Describe and define the roles and responsibilities of participants on Six Sigma teams, including black belt, master black belt, green belt, champion, executive, coach, facilitator, team member, sponsor, process owner, etc.

 

3.0 Lean principles in the organization

Lean concepts and tools

Define and describe concepts such as value chain, flow, pulls, perfection, etc., and tools commonly used to eliminate waste, including kaizen, 5S, error-proofing, value-stream mapping, etc.

Value-added and non-value-added activities

Identify waste in terms of excess inventory, space, test inspection, rework, transportation, storage, etc., and reduce cycle time to improve throughput. (Understand)

4.0 Six Sigma—Measure

Process Mapping

Develop and review process maps, flowcharts, etc.

Process Inputs and Outputs

Identify process input variables and process output variables (SIPOC), classify as CTQs and CTPs including Control & Noise CTPs.

Probability and Statistics

Distinguish between enumerative (descriptive) and analytical (inferential) studies, and distinguish between a population parameter and a sample statistic.

Basic Probability Concepts

Describe and apply concepts such as independence, mutually exclusive, multiplication rules, etc.

Types of Data and Measurement Scales

Identify and classify continuous (variables) and discrete (attributes) data. Describe and define nominal, ordinal, interval, and ratio measurement scales.

Data Collection Methods

Define and apply methods for collecting data such as check sheets, stratification, coded data, etc.

Techniques for Assuring Data Accuracy and Integrity

Define and apply techniques such as random sampling, stratified sampling, sample homogeneity, etc.

Descriptive Statistics

Define, compute, and interpret measures of dispersion and central tendency, and construct and interpret frequency distributions and cumulative frequency distributions.

Graphical Methods

Depict relationships by constructing, applying and interpreting diagrams and charts such as stem- and leaf plots.

Probability Distributions

Describe and interpret binomial, and Poisson, normal, chi square, Student’s t, and F distributions.

Central Limit Theorem and Sampling Distribution of the Mean

Define the central limit theorem and describe its significance in the application of inferential statistics for confidence intervals, control charts, etc.

Measurement System Analysis

Calculate, analyse, and interpret measurement system capability using repeatability and reproducibility (GR&R), measurement correlation, bias, linearity, percent agreement, and precision/tolerance (P/T)

5.0 Six Sigma—Analyse

Cause Analysis

Root cause analysis, cause and effects analysis.

Failure Mode and Effects Analysis (FMEA)

Define and describe failure mode and effects analysis (FMEA).

Run Charts

Plotting sequential data and analyse for normality, trends, patterns.

Multi-Vari Studies

Create and interpret multi-vari studies to interpret the difference between positional, cyclical, and temporal variation.

Simple Linear Correlation and Regression

Interpret the linear regression equation and determine its statistical significance. Use regression models of Six Sigma.

6.0 Six Sigma—Improve and Control

Process Capability and Performance

Identify, describe, and apply the elements of designing and conducting process capability studies.

Process Performance vs. Specification

Distinguish between natural process limits and specification limits.

Process Capability Indices

Define and calculate Cp and Cpk, and assess process capability.

Process Performance Indices

Define and calculate Pp, Ppk, and assess process performance.

Short-Term vs. Long-Term Capability

Describe the assumptions and conventions.

Process Capability for Attributes Data

Compute the Sigma level for a process and describe its relationship to Ppk.

Statistical Process Control (SPC)

Define and describe how rational sub-grouping is used.

Describe the objectives and benefits of SPC.

Selection and Application of Control Charts

Identify, select, construct, and apply the following types of control charts: X-bar −R, X-bar−s.

Analysis of Control Charts

Interpret control charts and distinguish between common and special causes using rules for determining statistical control.

Control Plans, SOPs, Work Instructions

Developing these documents and assisting in implementing controls and monitoring systems.

Practice Exam

Examination

FAQ

  • To understand the value of Six Sigma
  • To understand organizational drivers and metrics
  • To understand organizational goals and Six Sigma projects
  • To understand the Lean principles in the organization
  • To understand how Quality Function Deployment fits into DFSS process
  • To analyse the difference between DFMEA and PFMEA
  • To understand the road map for DFSS
  • To analyse the process elements (recognize how processes cross various functional areas and the challenges that result for process improvement efforts)
  • Managers, Team Leaders, supervisors and all employees who want to apply quality control process, efficiency
  • Quality System Managers
  • Operation Managers
  • Production and Materials Managers
  • HR Managers
  • Finance, Sales, Marketing and commercial managers
  • Senior consultants
  • Employees seeking career growth

Dr Anbaratnam

Mr Gajendra Balasingham

Mr Haran

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