Indian Statistical Institute SQC & OR Unit, Hyderabad Announces Certification Program on Street No 8, Habsiguda, Hyderabad – 500007 Phone: (040) 27153984/2171906 Fax: (040) 27173602 Website: www.isihyd.ac.in Email: [email protected]Note : Any changes/cancellation of the program offering will be at the discretion of the Institute and will be intimated accordingly. Six Sigma Green Belt August 2019 (Saturdays) 3 rd , 10 th , 17 th , 24 th & 31 st (5 Days)
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Six Sigma Green Belt · Certified Six Sigma Green Belt (CSSGB) Six Sigma Green Belts are trained executives in the Six Sigma Methodology and the relevant Statistical Tools & Techniques
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Indian Statistical Institute SQC & OR Unit, Hyderabad
Indian Statistical Institute, Hyderabad announces a weekend (Saturdays) Six Sigma Green Belt Certification program during August 2019 : 3rd,
10th, 17th, 24th & 31st (5 Days) with the objective of developing Six Sigma Green Belt Certified personnel who can assist organizations build highest
levels of quality with minimal variation /waste in their products and organizational processes for improving customer satisfaction and gaining
competitive advantage. The program will be extremity useful to the executives associated with any function of an organization. Quality is the
responsibility of each and every person in an organization and Six Sigma and skills are essential for every individual to assist in solving organisational
problems using statistical tools & techniques in an efficient and effective manner.
Certified Six Sigma Green Belt (CSSGB)
Six Sigma Green Belts are trained executives in the Six Sigma Methodology and the relevant Statistical Tools & Techniques at an appropriate level.
Certified Six Sigma Green Belt is expected to demonstrate the skills & capabilities necessary to understand, analyse, resolve problems and maintain
the improvement in their respective working areas with special attention to minimize variation, waste, cycle time etc,. The beauty of having Six Sigma
& statistical thinking is that it helps an individual to perform a given activity in the best possible manner resulting in highest productivity with
minimal & errors. CSSGBs are trained to speak with facts and conviction rather than hunches and opinions. They are the internal change agents of an
organisation and inculcate a mindset in the whole organisation towards driving organisational processes through Six Sigma and statistical thinking.
They form the critical mass of an organisation for achieving business excellence.
Eligibility Criteria
Graduate/Diploma in any discipline with adequate knowledge on industrial/organizational processes and Quality Management Practices/Approaches.
Statistical/Mathematical skills will be an added advantage. Experience in executing improvement projects is desirable.
Certification Criteria
100% attendance and
Securing Minimum 80% Marks in the overall assessment
(Consisting of weekly Assignments, Group Exercises, Presentations, Quizzes and Final Examination on the last day)
Program Fee : Rs 15,000/- (per participant) In addition, applicable GST. (Presently 18%) (Rs 17,700/- with GST)
Includes program material, Tea/Coffee and Simple Executive lunch on the days of the program.
Payment Mode : Program fee in full along with the applicable taxes in full (Part payment is not acceptable) in the form of
Demand Draft drawn in the favour of Indian Statistical Institute, Payable at Hyderabad
OR
Online (NEFT) Bank Transfer, Syndicate Bank, A/C No : 30451010000079 & IFSC Code : SYNB0003045
J S N Colony, Habsiguda, Hyderabad.
Duration : 3rd, 10th, 17th, 24th & 31st August 2019 (5 Days) Timing : 0930 to 1730
Venue : Lecture Hall, Indian Statistical Institute, Hyderabad
Faculty : Institute faculty with over 30 years of experience in Teaching/Training/Consultancy and Professionals from Industry
Curriculum : Scientifically designed Six Sigma Green Belt Curriculum (Given Below)
Registration Procedure : Dully filled Registration form in the prescribed format (Given below) along with the Program Fee (with GST)
need to be sent to the Program Facilitator so as to reach on or before 31st July 2019.