The Indian Statistical Institute is a quasi central organization under the Ministry of Statistics and Program Implementation.

Six Sigma is a Program to be owned and led by leadership orienting strategically towards market place and customer satisfaction.


Eligibility Criteria for Certification Program for Six Sigma Black Belt

-Degree holder in any discipline with at least 6 months of specialized training in Quality Management Sciences from a recognized institutions like ISI etc.

and/or

-Certified Green belts from recognized certification bodies like ISI, ASQ etc.

-Each candidate should have at least 3 years of experience in conducting/guiding improvement projects.


The training session shall include topics like:

Overview of Six Sigma Methodology, Identification, Prioritization and selection of Improvement opportunities, Roles and responsibilities in Six Sigma implementation.
Over view of Six Sigma Project execution (DMAIC or DFSS/ DMADV) (Define- Measure- Analyze- Improve & Control or Design for Six Sigma/Define- Measure- Analyze- Design
and Validate), and Gate Review Questionnaire.

Development of Project Team and Charter, Define and Map Processes to be improved (SIPOC -Supplier, Input, Process, Output, Customer), Identification of Critical To Customer / Critical To Business (CTQ/CTB) characteristics, Concept of tree diagram, Voice of Customer, Concept of Quality Function Deployment.

Types of Data, Statistical distributions - Binomial, Poisson, Normal, Exponential and Weibull; Prioritization Matrix, FMEA and their use in Data Collection Planning.
Introduction to various software packages for data display & analysis like Excel, Minitab, JMP etc.- understanding in usage & interpretation of output along with each topic, Measurement System Evaluation for measurable (Gauge R&R) as well as for attribute data (Kappa Value and Confidence interval for agreement with expert); Understanding variation - Special causes vs. Common causes (like Dot Plots, Box Plots, Histogram and Control Charts), Stratification methods (like Pareto, Bar Diagrams, Stratified Dot Plot, Stratified Scatter Plot, Box Plot, Multi Vari Charts etc), Normality test of a data, and concept of confidence interval; Evaluation of Process Capability for Data, Concept of Short Term, Long Term Process Capability and assessment of Sigma level.

Identification of Value-Added and Non-Value-Added activities (use of lean concept), Organizing for potential causes using Cause-&-Effect diagram, FMEA & Tree Diagram;
Verification/validation of causes using work place investigation (GEMBA), Concept of correlation and Regression and use of the same in validating causes; Concept of Test of Hypothesis like 2 Sample t, Chi Square, ANOVA etc and use of the same in validating the causes; Sample Size determination for a given confidence level; Concept of Multiple Regression and Logistic regression and use of the same in validating the causes; Concepts of Exploratory Data Analysis.

Concept of Design of experiment and details of full factorial, fractional factorial and screening designs; Generate Improvement Ideas using Creativity Techniques (Traditional & non traditional)

Lean Concepts, including Kaizen, Solution Evaluation Criteria, Evaluation of solutions and selection of solutions, Change Management Process dealing with resistance to change, Process of piloting the solutions, Risk Analysis through use of FMEA or related methodologies, Concept and Examples of Poke Yoke, Visual Workplace,, kaizen and 5S, Planning for full scale implementation (use of Gantt Charts, Microsoft project, planning grid, involvement Matrix) Simulation, Business forecasting.

Evaluation of results after implementation, Monitoring the results through statistical Process Control (like Control Charts, Pre-Control Charts etc) after implementation of the solutions, Monitoring the results as a part of established QMS through use of process audit, product audit and internal audits, Institutionalization and integration of the solutions, Process of Closing the Project, Work through at least 3 six sigma projects of different applications, Documentation of a Project.



Participation Fee
INR 70,000/- (for Indians) / US$ 2000 (for Overseas participant ) per head


For More Information Contact:
Indian Statistical Institute,
8th Mile, Mysore Road,
Bangalore - 560 059, INDIA
Phone : + 91 80 2848 3007
Fax : + 91 80 2848 4910