QGI Training

Green Belt Training for IT Enabled Services
( A Four Day Workshop )

Program Objectives and Deliverables
This workshop will help the participants in understanding:

•	How to identify projects from key business areas/ imperatives?
•	How to bring about improvements in business processes such as transaction monitoring, staffing and scheduling through the application of Six Sigma tools and the DMAIC methodology?
•	Which are the areas where Six Sigma tools have yielded the greatest benefit to practitioners?
•	How to integrate Innovation and Problem Solving Skills?
•	What are the pitfalls in 6-Sigma implementation and how to avoid them?
•	The participants will be trained in the rigor of the DMAIC methodology while applying it to specific cases.

On completion of this workshop the participants will be ready to lead Six Sigma projects and provide tangible benefits within 4 to 6 months.

Format of Six Sigma Green Belt Training Program

Facilitation of this workshop is through:

•	Classroom sessions
•	Individual and Group Exercises
•	Sharing of Experiences
•	Interspersed with the concept and theory of Six Sigma, Lean and Innovation.

Course Coverage

Day 1

Module 1: Introduction

•	Section 0: Six sigma Overview, Origin and Application
•	Section 1: What is Six Sigma?
•	Section 2: DMAIC and DFSS approach to Six Sigma – Overview of tools used in DFSS approach
•	Section 3: Six sigma and Organization Structure

Module 2: Define

•

Section 4: Voice of Customer (VOC)

ο Tools for preliminary VOC analysis

	1.	CTQ Tree
	2.	Affinity Diagram
	3.	Kano Model

•

Section 5: Project Charter and Plan

ο Building Goal/Problem Statement,

ο Project Scoping;

ο Selection of Team Members;

ο Assigning of Roles for Team Members;

ο Putting together the Business Case and Project Sign Off.

ο Six Sigma Finance - Potential savings and their link to defects; estimating potential savings; Cost Avoidance vs. Costs Reduction.

•

Section 6: SIPOC or COPIS or POCIS

Day 2

Module 3: Measure Phase

•

Section 7: The Need for Data

ο Discrete Data

ο Continuous Data

ο Nominal, Ordinal, Interval, Ratio

•

Section 8:

ο Failure Modes and Effect Analysis (FMEA) (also in Improve Phase)

ο Fish Bone Diagram Usage For data collection and identification of X factors

•

Section 9: Measurement System Analysis – Attribute Gage R&R

ο Key issues in measuring quality

ο Calibration guidelines

ο Attribute Gage R&R

ο Calibration guidelines

•

Section 10: Sampling

ο Sampling approach

	1.	Random Sampling
	2.	Random Stratified Sampling
	3.	Systematic Sampling
	4.	Rational sub-grouping

ο Sampling approach

ο Calculating sample size: Continuous Data

ο Calculating sample size: Discrete Data

Day 3

Module 4: Analyze Phase

•

Section 11: Data Analysis

ο Discrete Data

	1.	Bar Chart
	2.	Pie Chart
	3.	Pareto Chart
	4.	I-MR Chart

ο Continuous Data

	1.	Scatter Plot
	2.	Histogram
	3.	Box Plot
	4.	I-MR chart
	5.	Multivari chart
	6.	Regression analysis

ο Quantitative Methods

	1.	Measures of Location
	2.	Mean, Median, Mode
	3.	Measures of Variability

ο Range, IQR, Standard Deviation

ο Process Mapping and different types of process maps

ο Hypothesis testing- 2 t, paired t, ANOVA, Chi Square test

ο Regressions and scatter plot

•

Section 12: Voice of the Process (Capability Analysis – Measure and Control Phase)

ο Voice of Process and Voice of Customer

ο Capability and Performance

	1.	Cp, Cpk
	2.	Pp, Ppk

ο What Six sigma means

•

Section 13: Case Studies for Data Analysis and RCA

Day 4

Module 4: Analyze Phase

•	Section 14:
	ο Innovative Problem Solving Using TRIZ
	ο Control-Impact Matrix

•	Section 15:
	ο Creating New VSM and Piloting the Solution

Control Phase

•	Section 16:
	ο Control Phase Steps
	ο Process Capability
	ο Using Control charts- ImR, p, np, c, u charts
	ο Best Practices institutionalization

CASE STUDY- Simulation of DMAIC steps

Program Includes using MINITAB Statistical software for data analysis and interpretation of results. Case studies and caselets are used to demonstrate and practice the use of appropriate tools.