Coming soon
Statistical Techniques for Quality Control
To explore and apply statistical techniques for quality control to improve product or process quality, minimize variability, and enhance overall organizational performance.
|
Course |
Course outcomes |
Learning and teaching strategies |
Assessment Strategies |
|
|---|---|---|---|---|
|
Course Code |
Course Title |
|||
|
24DSTT501(B) |
Statistical Techniques for Quality Control (Theory)
|
CO 56: Develop a comprehensive understanding of Statistical Quality Control (SQC) and control charts for effective quality management and process control. CO 57: Construct and analyze 3-σ Control charts and identify patterns on control charts for variables. CO 58: Compare and contrast control charts for attributes with those for variables, examining their effectiveness in monitoring defects and defectives in production processes. CO 59: Formulate Product Control Sampling Plans and analyze associated risks, OC curves and rectifying inspection plans. CO 60: Develop mathematical analyses for Double Sampling Plans, integrating Standard sampling tables to optimize sampling efficiency and ensure quality control in production processes. CO 61: Contribute effectively in course-specific interaction. |
Approach in teaching: Interactive Lectures, Group Discussion, Classroom Assignment, Problem Solving Sessions.
Learning activities for the students: Assignments Seminar Presentation Subject based Activities |
Classroom Quiz, Assignments, Class Test, Individual Presentation. |
Quality: Definition, dimensions of quality. Quality system and standards: Introduction to ISO quality standards. Statistical Process Control - Definition and Seven tools of SPC, chance and assignable causes of quality variation.
Construction and Statistical basis of 3-σ Control charts, Natural tolerance limits, Specification limits, Analysis of patterns on control chart. Control charts for variables: X-bar & R-chart & σ-chart.
Concept of defects and defectives. Control charts for attributes: np-chart, p-chart, c-chart. Comparison between control charts for variables and control charts for attributes.
Acceptance Sampling for Attributes, AQL, AOQL, LTPD, process average fraction defective, consumer’s risk and producer’s risk, ASN, ATI, OC curve and Rectifying inspection plan. Single sampling plan and its mathematical analysis.
Double sampling plans and their mathematical analysis. Idea of Standard sampling tables: Dodge and Romig tables.
- Goon, A.M., Gupta, M.K. and Dasgupta, B. (1991): Fundamentals of Statistics, Volume II, The World Press Pvt Ltd, Calcutta
- Gupta, S.C. and Kapoor, V.K. (2000): Fundamentals of Applied Statistics, S Chand Company, New Delhi, tenth editions.
SUGGESTED READINGS:
- Montgomery, D.C. (2001): Introduction to Statistical Quality Control, John Wiley and Sons, Third Edition.
- Speigel M.R., (1967): Theory and Problem of Statistics, Schaum’s Publishing Series.
- Guilford, J.P. and Fruchter B. (1980): Fundamental Statistics in Psychology and Education. Mc Graw Hill.
- Grant, E.L. (1964): Statistical Quality Control, Mc Graw Hill.
e-RESOURCES:
JOURNALS:
- Sankhya The Indian Journal of Statistics, Indian Statistical Institute
- Aligarh Journal of Statistics, Department of Statistics and Operations Research, Aligarh Muslim University
- Afrika Statistika, Saint-Louis Senega University
- International Journal of Statistics and Reliability Engineering, Indian Association for Reliability and Statistic
- Journal of the Indian Society for Probability and Statistics, Indian Society for Probability and Statistics
- Journal of the Indian Statistical Association, Indian Statistical Association
- Statistica, Department of Statistical Sciences Paolo Fortunato, University of Bologna
- Statistics and Applications, Society of Statistics, Computer and Applications
- Stochastic Modeling and Applications, MUK Publications and Distributions
