(IITD) Presents 4 Full Days Workshop on Six Sigma Green Belt (SSGB) Certification Training

 Course Objective:

 Learn how to integrate principles of business, statistics and engineering to achieve
tangible results.
 Master the use of Six Sigma to quantify the critical quality issues in your company.
 Once the issues have been quantified, statistics can be applied to provide
probabilities of success and failure.
 Six Sigma methods increase productivity and enhance quality.
 As a Six Sigma green belt, you will be equipped to support and champion Six Sigma
implementation in your organization.
Who should attend?
 Managers, supervisors, and employees and who want to apply quality control
process, efficiency, and methodologies learned in class to a project within their own
business.
 Quality system managers
 Operations manager
 Production and materials managers
 HR managers
 Finance and commercial managers
 High potential employees
 Consultants who want to incorporate Six Sigma Green Belt in their service offerings
and help their clients implement it.
What will I learn?
Upon completion of this course, participant should be able to learn:
 History of Six Sigma
 Problem solving
 Basic statistics and displays of data
 Process mapping and measurement techniques
 Six sigma tools
 DMAIC process improvement roadmap
 How to establish customer requirements
 How to measure and quantify process performance
 Statistical and other analytical methods for identifying and understanding sources of
variation
Contents:
Day 1
Session 1
 What is Six Sigma?
 History of Six Sigma?
 What is Sigma and why is it Six Sigma?

Session 2
 How does Six Sigma DMAIC process works?
 Six sigma Roles and responsibilities.
 Six sigma Vs. Business Process Re-engineering.
Session 3
 What is Statistics?
 What is Descriptive Statistics?
 What is Inferential Statistics?
 Accuracy v/s Precision.
Session 4
 Capturing Voice of customer
 Kano model
 CTQ drill down tree.
Day 2
Session 1
 Project charter.
 Team Dynamics.
 SIPOC.
 P-Map and Process flow diagram.
 Cause and Effect matrix
Session 2
 7 types of wastes.
 Value added and non-value added activities.
 Concept of Value stream mapping.
Session 3
 Identifying project output.
 Types of data.
Session 4
 Data collection strategy - Sampling.
 Sample size calculation.
 Measurement system analysis - Continuous data and discrete data.
Day 3
Session 1
 Introduction to Normal Distribution.
 Process capability.
 Process Sigma calculation.
 Calculation of Z value.
Session 2
 Data analysis (Graphical representation).
 Ishikawa Diagram, Pareto diagram, Histogram
 Box Plot
Session 3
 Process variation.
 Statistical process control.
 Types of control charts.
Day 4
Session 1

 What is Hypothesis?
 Hypothesis Testing Errors.
 Hypothesis testing (T test and Annova), Regression analysis, Chi-square analysis.
 Examples of hypothesis testing.
Session 2
 Introduction to DOE.
 Pilot solution implementation.
Session 3
 FMEA analysis
 Mistake proofing (Poka Yoke).
 Control plan.
 Note - Participants should bring their own Laptop for learning Minitab
analysis.
 Mock test and examination will be conducted on last day.
The training includes
 4 day classroom training at a 3 star hotel
 Interactive demo sessions on statistical tools using Minitab software
 Comprehensive course material
 Group Exercises based on scenarios
 Review and preliminary discussion on real projects undertaken by participants
 Assistance in selecting an improvement project
 Certification from IITD
IITD Sr. Expert Faculty: DME, B.E. Production
 22 years of experience in world class manufacturing industry
 Six sigma certified Master Black belt.
 Conducted Six sigma trainings in Europe, Russia, USA.
 ISO/TS-16949 internal auditor.

Medium: English, Marathi