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Course Detail

Course Name Six Sigma Analytics
Course Code 26MAT344
Program 5 Year Integrated M.Sc in Data Science
Credits 3
Campus Coimbatore

Syllabus

Unit 1

Quality Management (7)Introduction to Quality Management Japanese System of Total Quality Management. Quality Circles – 7 Quality Control tools – 7 New Quality Control tools.

Unit 2

Measurement System (8)ISO 9000 Quality system Standards – Project Planning, Process and measurement system capability analysis – Area properties of Normal distribution.

Unit 3

Statistical tools and Analytics of Six Sigma (15)

Metrics of Six sigma, The DMAIC cycle – Design for Six Sigma – Lean Sigma – Statistical tools for Six Sigma. Taguchi methods. Loss functions and orthogonal arrays and experiments.

Text Books / References

Text books:

  1. Ravichandran. J, Probability and Statistics for Engineers, 1st Edition 2012 (Reprint), Wiley India
  2. Ishikawa K., Guide to Quality Control, 2nd Edition: Asian Productivity Organization, Tokyo (1983).
  3. Taguchi G, Introduction to Quality Engineering: Designing Quality into Products and Processes Second Edition. (1991).

Reference Books:

  1. Montgomery Douglas C., Introduction to Statistical Quality Control, Sixth Edition. John Wiley & Sons, (2008).
  2. Harry, M and Schroeder R., Six Sigma: The Breakthrough Management Strategy. Currency Publishers, USA. (2000).

Objectives and Outcomes

Course Outcomes

CO1

To understand the features of quality management practices

CO2

To gain knowledge about System standards and process mearurements

CO3

To apply various statistical tools and analytics of Six Sigma

CO-PO Mapping

  PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
CO1 2 2 2 3 2           2 1
CO2 3 3 3 3 2           2 1
CO3 3 3 3 3 2           2 1

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