(During office hours)
Overview of Six Sigma Methodology, Identification, Prioritization and selection of Improvement opportunities, Roles and responsibilities in Six Sigma implementation. Overview 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).
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 Date Collection Planning.
Introduction to Various software packages for data display & analysis like Excel, Minitab 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 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 acuses using work place investigation (GEMBA), 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)
Evaluation of results ater implementation, Monitoring the results through statistical Process Control (like Control Charts, Pre-Control Charts etc) after implementation of the solution, Monitoring the results as a part of estabalished QMS through use of process audit, product audit and internal audits, Institutionalization and integration of the solutions, Process of Closing the Project.
- Program dates:
January 20,21,27,28 February 3,4,10,11,17,18,24,25 March 3,4,10,11,17,18,24,25 April 7,8,21,22,28,29
- Timing : The weekend hours are specially designed for working executives to attend to their family/personal weekend needs as well as to be left with few leisure hours.
Please note the hours are :
Saturday 2 PM to 7.30 PM Half an hour snack break at 5 PM Sunday 9 AM to 1.15 PM Tea break at 11 AM
- Lunch : We wish to keep participants informed that lunch will be made available on both days, on requisition. Hence information will be collected from participants, based on which lunch arrangement will be made to eliminate wastage.
- Discipline : Kindly also remember, as you register for this program, that beyond 15 minutes delay, one will not be allowed to join the class. Random entry to the lecture hall disrupts attention of the participants as well as the faculty.
We respect those who arrive in time, hence the above will be STRICTLY implemented.
- Venue :
Indian Statistical Institute
SQC & OR Unit
110, Nelson Manickam Road,
Chennai, 600 029.
- Minimum attendance must be eighty percent (80%) of all the sessions held.
- There will be three examination, first at the end of Measure phase, second at the end of Analyse phase and the last on the last day of the program. There will not be any supple- mentary examination. One needs to secure a minimum of 70% marks in each of the three examinations to obtain the certificate.
- If a participant does not perform up to the mark in the exams, but has the requisite attendance then she/he will be eligible for a ”Participation Certificate” and will not be eligible for a ”Completion Certificate”. Those who do not satisfy either criteria of attendance and performance in the exam, will NOT BE ELIGIBLE for ANY certificate. Mere payment of fees do not entitle a participant for a certificate.
- INR 75,000/- + GST (18%).
- Participation Fee includes Backpack, Course Manual, Pen drive, Lunch and Refreshments.
- The total Fee have to be paid full in advance.
- Fees may kindly be paid by Demand Draft or Cheque favoring INDIAN STATISTICAL INSTITUTE, payable at Chennai. Cash payments may also be made. In case one is interested in online payment, please contact our accounts department.
- Seats are limited. Enrolment on First-Come-First-Served basis.
- BE / B.Tech degree holder in any discipline along with MBA/MCA degree or M.Sc/B.Sc in Statistics degree holders.
- If you are certified Green belts from recognized certification bodies like ISI, ASQ etc.
- A candidate should have at least 3 years of experience in conducting/guiding improvement projects.
Indian Statistical Institute
110 (new no:37), Nelson Manickam Road
Aminjikarai, Chennai - 600029
044−23740612 / 044−23740256
(During office hours)
sixsigma [at] isichennai.res.in
Web : www.isichennai.res.in