Syllabus
Introduction – Basics of probability and statistics– process capability – Quality loss function– design of experiments– Orthogonal array selection and utilization – Analysis and interpretation methods- Parameter design – tolerance analysis– statistical quality control: Control charts, Sampling plans.
Text Books
Same as Reference
References
1. G. Taguchi, E. A. Elsayed and T. Hsiang, Quality engineering in production systems, Mc Graw Hill, 1989.
2. P. J. Ross, Taguchi techniques for quality engineering, Tata McGraw Hill, 2nd Edition, 2005.
3. M. S. Phadke, Quality Engineering using robust design, Pearson education, 2008.
4. D. C. Montgomery, Introduction to statistical quality control, John Wiley and sons, 6th edition, 2009.
5. E. L. Grant and R. S. Leavenworth, Statistical Quality control, McGraw Hill, 6th Edition, 1998.
Course Outcomes (COs):
CO1: Apply the basic statistical concepts and the concepts of process capability to solve quality control problems in industrial environments.
CO2: Implement factorial design of experiments and Taguchi’s orthogonal arrays to optimize product and process parameters.
CO3: Prepare and analyze various control charts for quality control and improvement.
CO4: Prepare sampling plans using single and multiple sampling techniques.