Six Sigma

By Prof. Jitesh J Thakkar   |   IIT Kharagpur
  • The course on Six-Sigma will focus on detailed strategic and operational issues of process improvement and variation reduction. Six-sigma is a measure of quality that strives for near perfection. It is a disciplined, data-driven approach for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process-from manufacturing to transactional and from product to service. 
  • A Six-sigma defect is anything outside of customer specifications. To be tagged Six Sigma, a process must not produce more than 3.4 defects per million opportunities. 
  • Six-sigma employs a systematic approach of DMAIC (Define, Measure, Analyze, Improve and Control) for the process improvement. This course will provide a detailed understanding on various issues specific to each phase of DMAIC. 
  • The course is designed with a practical orientation and includes cases, industry examples and MINITAB software applications.  
  • The course is designed to satisfy the need of both industry professionals and University students.
  • The content is beneficial to both manufacturing and service industry.

INTENDED AUDIENCE : Mechanical Engineering, MBA, Industrial Engineering
INDUSTRY SUPPORT : Manufacturing and Service Industry

Learners enrolled: 5539


Course Status : Completed
Course Type : Elective
Duration : 12 weeks
Start Date : 27 Jan 2020
End Date : 17 Apr 2020
Exam Date : 26 Apr 2020
Enrollment Ends : 03 Feb 2020
Category :
  • Management Studies
  • Level : Undergraduate/Postgraduate
    This is an AICTE approved FDP course


    Lecture 1: Brief overview of the course
    Lecture 2: Quality concepts and definition
    Lecture 3: History of continuous improvement
    Lecture 4: Six Sigma Principles and Focus Areas (Part 1)
    Lecture 5: Six Sigma Principles and Focus Areas (Part 2)
    Lecture 6: Six Sigma Applications
    Lecture 7: Quality Management: Basics and Key Concepts 
    Lecture 8: Fundamentals of Total Quality Management
    Lecture 9: Cost of quality
    Lecture 10: Voice of customer 
    Lecture 11: Quality Function Deployment (QFD)
    Lecture 12: Management and Planning Tools (Part 1)
    Lecture 13: Management and Planning Tools (Part 2)
    Week 3  : DEFINE
    Lecture 14: Six Sigma Project Identification, Selection and Definition
    Lecture 15: Project Charter and Monitoring
    Lecture 16: Process characteristics and analysis
    Lecture 17: Process Mapping: SIPOC
    Week 4 MEASURE 
    Lecture 18: Data Collection and Summarization (Part 1)
    Lecture 19: Data Collection and Summarization (Part 2)
    Lecture 20: Measurement systems: Fundamentals
    Lecture 21: Measurement systems analysis: Gage R&R study
    Lecture 22: Fundamentals of statistics
    Lecture 23: Probability theory
    Week 5  : MEASURE 
    Lecture 24: Process capability analysis: Key Concepts
    Lecture 25: Process capability analysis: Measures and Indices 
    Lecture 26: Process capability analysis: Minitab Application
    Lecture 27: Non-normal process capability analysis
    Week 6  :  ANALYZE 
    Lecture 28: Hypothesis testing: Fundamentals
    Lecture 29: Hypothesis Testing: Single Population Test
    Lecture 30: Hypothesis Testing: Two Population Test
    Lecture 31: Hypothesis Testing: Two Population: Minitab Application
    Lecture 32: Correlation and Regression Analysis
    Lecture 33: Regression Analysis: Model Validation
    Week 7  :   ANALYZE 
    Lecture 34: One-Way ANOVA
    Lecture 35: Two-Way ANOVA
    Lecture 36: Multi-vari Analysis
    Lecture 37: Failure Mode Effect Analysis (FMEA)
    Week 8  :  IMPROVE
    Lecture 38: Introduction to Design of Experiment
    Lecture 39: Randomized Block Design
    Lecture 40: Randomized Block Design: Minitab Application
    Lecture 41: Factorial Design
    Lecture 42: Factorial Design: Minitab Application
    Week 9  :  IMPROVE
    Lecture 43: Fractional Factorial Design
    Lecture 44: Fractional Factorial Design: Minitab Application
    Lecture 45: Taguchi Method: Key Concepts
    Lecture 46: Taguchi Method: Illustrative Application
    Week 10  :  CONTROL 
    Lecture 47: Seven QC Tools
    Lecture 48: Statistical Process Control: Key Concepts
    Lecture 49: Statistical Process Control: Control Charts for Variables
    Lecture 50: Operating Characteristic (OC) Curve for Variable Control charts
    Lecture 51: Statistical Process Control: Control Charts for Attributes
    Lecture 52: Operating Characteristic (OC) Curve for Attribute Control charts
    Lecture 53: Statistical Process Control: Minitab Application
    Week 11  :  CONTROL 
    Lecture 54: Acceptance Sampling: Key Concepts
    Lecture 55: Design of Acceptance Sampling Plans for Attributes (Part 1)
    Lecture 56: Design of Acceptance Sampling Plans for Attributes (Part 2)
    Lecture 57: Design of Acceptance Sampling Plans for Variables 
    Lecture 58: Acceptance Sampling: Minitab Application
    Lecture 59: Design for Six Sigma (DFSS): DMADV, DMADOV
    Lecture 60: Design for Six Sigma (DFSS): DFX
    Lecture 61: Team Management
    Lecture 62: Six Sigma: Case study
    Lecture 63: Six Sigma: Summary of key concepts 


    1. Roderick A. Munro and Govindarajan Ramu and Daniel J. Zrymiak, The certified six sigma Green Belt Handbook, ASQ Quality Press and Infotech Standards India Pvt. Ltd. 
    2. T. M. Kubiak and Donald W. Benbow, The Certified Six Sigma Black Belt Handbook, Pearson Publication.
    3. Forrest W. Breyfogle III, Implementing Six Sigma, John Wiley & Sons, INC. 
    4. Evans, J R and W M Lindsay, An Introduction to Six Sigma and Process Improvement, CENGAGE Learning.   
    5. Howard S. Gitlow and David M. Levine, Six Sigma for Green Belts and Champions, Pearson Education, Inc. 
    6. Montgomery, D C. Design and Analysis of Experiments, Wiley.
    7. Mitra, Amitava. Fundamentals of Quality Control and Improvement, Wiley India Pvt Ltd.
    8. Montgomery, D C. Statistical Quality Control: A modern introduction, Wiley.


    Prof. Jitesh J Thakkar

    IIT Kharagpur
    Dr. Jitesh J. Thakkar is an Associate Professor at the Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, India. He received Ph.D in Supply Chain Management from IIT Delhi, Masters in Technology in Industrial Engineering from IIT Delhi and Bachelors in Mechanical Engineering with Gold Medal from the oldest Government Engineering College Birla Vishvakarma Mahavidyalaya, Sardar Patel University, Gujarat.He has 18 years of teaching, research and industry experience. He has been invited as a faculty expert by various reputed institutes such as IIT Kanpur, IIT Madras, IIM Indore, NITIE Mumbai, NIT Surat, NIT Trichy, Institute of Rural Management Anand (IRMA), Ahmedabad Management Association (AMA), BCCI Kolkata, Adani Institute of Infrastructure Management (AIIM), L&T Project Management Institute, Chennai. He has guided four PhD at IIT Kharagpur in the areas of Sustainable Supply Chain Management and Lean Manufacturing. He has supervised more than 50 M.Tech and B.Tech projects at IIT Kharagpur. He has published 53 research papers in the leading International Journals in the areas of Lean & Sustainable manufacturing, Supply Chain Management, Quality Management, Small and Medium Enterprises and Performance Measurement. The publications have appeared in the leading journals – International Journal of Production Economics, Journal of Cleaner Production, Production Planning and Control, Computers & Industrial Engineering, Expert System with Applications, International Journal of Advanced Manufacturing Technology, Resources Policy, International Journal of Quality and Reliability Management, Journal of Manufacturing Technology Management and International Journal of Productivity and Performance Measurement. He is an Editorial Board member for three journals: i) International Journal of Productivity and Performance Management; ii) International Journal of Quality and Reliability Management and iii) International Journal of Lean Six Sigma. He has trained Corporate Managers in Lean Manufacturing, Process Excellence, Six Sigma, Value Engineering, Project Management, Quality Management, Supply Chain Management and Statistical Decision Making. He has also trained Teachers in Research & Publication and Teaching & Learning.


    • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
    • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    • Date and Time of Exams: 26th April 2020, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
    • Registration url: Announcements will be made when the registration form is open for registrations.
    • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
    • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

    • Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments
     given in the course. 
    • Exam score = 75% of the proctored certification exam score out of 100
    • Final score = Average assignment score + Exam score

    • If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
    • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kharagpur. It will be e-verifiable at nptel.ac.in/noc.
    • Only the e-certificate will be made available. Hard copies will not be dispatched.